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Modulhandbuch für den Masterstudiengang „Computer Aided Conception and Production in Mechanical Engineering (M.Sc.)”
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Inhaltsverzeichnis
Prüfungsordnungsbeschreibung: Computer Aided Conception and Production in Mechanical Engineering
(M.Sc.)............................................................................................................................................................ 4
Module: Advanced Software Engineering ..................................................................................................... 7
Module: Computational Fluid Dynamics I ................................................................................................... 10
Module: Computational Fluid Dynamics II .................................................................................................. 13
Module: Computational Modeling of Membranes and Shells .................................................................... 16
Module: Continuum Mechanics .................................................................................................................. 19
Module: Control Engineering ...................................................................................................................... 22
Module: Modeling, Model Reduction and Simulation in Laser Processing - Design ................................... 25
Module: Failure of Structures and Structural Elements .............................................................................. 28
Module: Advanced Finite Element Methods ............................................................................................... 31
Module: Finite Element Methods in Lightweight Design ............................................................................ 34
Module: Fundamentals of Lightweight Design ........................................................................................... 37
Module: German Language Course ............................................................................................................. 40
Module: Industrial Engineering and Ergonomics ........................................................................................ 43
Module: Industrial Internship...................................................................................................................... 47
Module: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools ...... 49
Module: Machine Tools ............................................................................................................................... 53
Module: Manufacturing Technology I ......................................................................................................... 56
Module: Manufacturing Technology II ........................................................................................................ 59
Module: Master Thesis ................................................................................................................................ 62
Module: Mechanics of Engineering Materials ............................................................................................ 64
Module: Mechatronics and Control Techniques for Production Plants ...................................................... 67
Module: Micro- and Macrosimulation of Casting Processes ...................................................................... 70
Module: Mini Thesis .................................................................................................................................... 74
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Module: Modeling, Model Reduction and Simulation in Laser Processing - Laser ..................................... 76
Module: Modeling, Model Reduction and Simulation in Laser Processing - Applications .......................... 79
Module: Molecular Mechanics and Multi-scale Modelling ......................................................................... 83
Module: Multibody Dynamics ..................................................................................................................... 86
Module: Nonlinear Structural Mechanics ................................................................................................... 90
Module: Numerical Methods in Mechanical Engineering ........................................................................... 93
Module: Practical Introduction to FEM-Software I ..................................................................................... 96
Module: Practical Introduction to FEM-Software II .................................................................................... 99
Module: Production Management A ......................................................................................................... 102
Module: Production Metrology ................................................................................................................. 105
Module: Quality Management .................................................................................................................. 108
Module: Reliable Simulation in the Mechanics of Materials and Structures ............................................ 111
Module: Selected Topics of Inelasticity Theory......................................................................................... 114
Module: Simulation of Discrete Event Systems ........................................................................................ 117
Module: Simulation Techniques (Modelling and Simulation) in Manufacturing Technology................... 120
Module: Tensor Algebra and Tensor Analysis for Engineering Students I ................................................ 124
Module: Tensor Algebra and Tensor Analysis for Engineering Students II ............................................... 127
Module: Welding and Joining Technologies .............................................................................................. 130
Module: Mechanics of Forming Processes ................................................................................................ 133
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Prüfungsordnungsbeschreibung:
Computer Aided Conception and Production in Mechanical Engineering (M.Sc.)
Titel Computer Aided Conception and Production in Mechanical Engineering (M.Sc.)
Kurzbezeichnung MSCAME
Beschreibung Übergreifende Ziele der Studiengänge der Fakultät für Maschinenwesen
Die Bachelor- und Masterstudiengänge der Fakultät für Maschinenwesen sind konsekutive bzw. weiterbildende, aber selbstständige Studiengänge.
Ziel der Ausbildung im Bachelorstudiengang Maschinenbau ist die Vermittlung der fachlichen Grundlagen dieses Fachgebiets in der Breite. Der Studiengang soll sicherstellen, dass die Voraussetzungen für spätere Verbreiterungen, Vertiefungen und Spezialisierungen gegeben sind. Er bereitet insbesondere auf das Masterstudium vor. Der Bachelorstudiengang soll dazu befähigen, die vermittelten Fähigkeiten und Kenntnisse anzuwenden und sich im Zuge eines lebenslangen Lernens schnell neue, vertiefende Kenntnisse anzueignen. Er ermöglicht einen Einstieg in den Arbeitsmarkt. Ein qualifizierter Bachelorabschluss ist die Voraussetzung für die Zulassung zu einem Masterstudiengang.
Die Masterstudiengänge der Fakultät für Maschinenwesen sind forschungsorientiert. Sie zielen neben der Verbreiterung auf Vertiefung und Spezialisierung ab. Durch die konsekutive Anlage, die auf einem entsprechenden Bachelorstudiengang aufbaut, wird eine angemessene fachliche Tiefe erreicht. Die Erweiterung und Vertiefung der im zugehörigen Bachelorstudiengang erworbenen Kenntnisse hat insbesondere zum Ziel, die Studierenden auf der Basis vermittelter Methoden- und Systemkompetenz und unterschiedlicher wissenschaftlicher Sichtweisen zu eigenständiger Forschungsarbeit anzuregen. Die Studierenden sollen lernen, komplexe Problemstellungen aufzugreifen und sie mit wissenschaftlichen Methoden, auch über die aktuellen Grenzen des Wissensstandes hinaus, zu lösen und im Hinblick auf die Auswirkungen des technologischen Wandels verantwortlich zu handeln. Die breite wissenschaftliche und ganzheitliche Problemlösungskompetenz legt in besonderer Weise Grundlagen zur Entwicklung von Führungsfähigkeit. Der qualifizierte Abschluss eines Masterstudiengangs ist eine notwendige Voraussetzung für die Zulassung zur Promotion.
Das Konzept der Studiengänge geht vom Master als Regelabschluss aus. Der Master erreicht mindestens das Niveau des bisherigen universitären Diplom-Ingenieurs. Der Bachelorabschluss wird als Drehscheibe gesehen, mit einer Berufsbefähigung für eine industrielle Tätigkeit und zur Weiterqualifizierung in Masterstudiengängen.
Allgemeine Ausbildungsziele
Die konsekutiven Bachelor- und/oder weiterbildenden Masterstudiengänge sind wissenschaftliche, forschungsorientierte Studiengänge, die grundlagen- und methodenorientiert ausgerichtet sind. Sie befähigen die Absolventen durch die Grundlagenorientierung zu erfolgreicher Tätigkeit während des gesamten Berufslebens hinweg, da sie sich nicht auf die Vermittlung aktueller Inhalte beschränken, sondern theoretisch untermauerte grundlegende Konzepte und Methoden vermitteln, die über aktuelle Trends hinweg Bestand haben. In den weiterbildenden Masterstudiengängen wird zudem die explizit vorausgesetzte berufspraktische Erfahrung berücksichtigt.
Die Ausbildung vermittelt den Studierenden die grundlegenden Prinzipien, Konzepte und Methoden des Fachs. Die Studierenden sollen nach Abschluss ihrer Ausbildung insbesondere in der Lage sein, Aufgaben in verschiedenen Anwendungsfeldern des Fachs unter unterschiedlichen technischen, ökonomischen und sozialen Randbedingungen zu bearbeiten. Sie sollen die erlernten Konzepte und Methoden auf zukünftige Entwicklungen übertragen können.
Die Ziele der Masterstudiengänge bestehen zum einen darin, die berufspraktischen Kompetenzen zu erweitern. Die Studiengänge sind so ausgelegt, dass die Absolventinnen und Absolventen das notwendige Rüstzeug für anspruchsvolle Forschungs- und Entwicklungsarbeiten besitzen. Zum anderen wird auch die Ausbildung in den fachspezifischen Grundlagen und in ihren Anwendungen verbreitert. Die Absolventinnen und Absolventen erwerben die wissenschaftliche Qualifikation für eine Promotion.
Problemlösungskonzept
Die Absolventen sollen im Stande sein, komplexe Aufgaben systematisch zu analysieren, Lösungen zu entwickeln und zu validieren. Sie sollen befähigt sein, bei auftretenden Problemen geeignete Maßnahmen zu ergreifen, die zu deren Lösung notwendig sind. Die Absolventen können auch komplexe Fragestellungen konstruktiv in Angriff nehmen. Sie haben gelernt, hierfür Systeme und
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Methoden des Fachs zielorientiert einzusetzen.
Schlüsselqualifikationen, Interdisziplinarität und Internationalität:
Neben der technischen Kompetenz sollen die Absolventen Konzepte, Vorgehensweisen und Ergebnisse kommunizieren und im Team bearbeiten können. Sie sollen im Stande sein, sich in die Sprache und Begriffswelt benachbarter Fächer einzuarbeiten, um über Fachgebietsgrenzen hinweg zusammenzuarbeiten. Die Integration von im Ausland erbrachten Studienleistungen wird durch geeignete akademische und administrative Maßnahmen gefördert.
Die oben aufgeführten Ausbildungsziele werden beim Bachelor bzw. Masterabschluss auf
unterschiedlichem Niveau erreicht. Insbesondere bzgl. Problemlösungs- und Leitungskompetenz ergibt
sich ein deutlicher Unterschied. Dies impliziert, dass der Anspruch der Aufgaben im Berufsleben nach
Ende des Studiums bei beiden Abschlüssen unterschiedlich sein wird.
Das Qualifikationsprofil von Absolventinnen und Absolventen, die den Abschluss in einem
der Masterstudiengänge erworben haben, zeichnet sich durch die folgenden zusätzlichen Attribute aus:
Die Absolventinnen und Absolventen haben die Ausbildungsziele des Bachelorstudiums in einem längeren fachlichen Reifeprozess weiter verarbeitet und haben eine größere Sicherheit in der Anwendung und Umsetzung der fachlichen und außerfachlichen Kompetenzen erworben.
Die Absolventinnen und Absolventen haben tiefgehende Fachkenntnisse in einem ausgewählten Technologiefeld oder in einem ingenieurwissenschaftlichen Querschnittsthema erworben.
Die Absolventinnen und Absolventen sind fähig, die erworbenen naturwissenschaftlichen, mathematischen und ingenieurwissenschaftlichen Methoden zur Formulierung und Lösung komplexer Aufgabenstellungen in Forschung und Entwicklung in der Industrie oder in Forschungseinrichtungen erfolgreich einzusetzen, sie kritisch zu hinterfragen und sie bei Bedarf auch weiter zu entwickeln.
Die Absolventinnen und Absolventen verfügen über Tiefe und Breite, um sich sowohl in zukünftige Technologien im eigenen Fachgebiet wie auch in die Randgebiete des eigenen Fachgebietes rasch einarbeiten zu können.
Die Absolventinnen und Absolventen haben verschiedene technische und soziale Kompetenzen (Abstraktionsvermögen, systemanalytisches Denken, Team- und Kommunikationsfähigkeit, internationale und interkulturelle Erfahrung usw.) erworben, die für Führungsaufgaben vorbereiten.
Ausbildungsziele für den Masterstudiengang Computer Aided Conception and Production in Mechanical Engineering
Das Studium Computer Aided Conception and Production in Mechanical Enineering (CAME) baut auf dem Grundlagenwissen der Studierenden auf und vermittelt erweiterte und spezialisierte Methoden-, Prozess- und Technologiekenntnisse im Bereich des computergestützten Konstruktionsentwurfs von Einzelteilen, Baugruppen und der Produktion im Maschinenbau. Ferner werden im Masterstudiengang sowohl theoretische, als auch praktische Inhalte, bezogen auf den Einsatz von industriespezifischen Software Systemen des industriellen Maschinenbaus, vermittelt, die den Bedürfnissen und Anforderungen des internationalen Arbeitsmarktes entsprechen. Neben dem zentralen Element des Aufbaus von technologischen und technischen Kompetenzen im Bereich der computergestützten Produktion, Modellierung und Simulation sowie des Softwareengineering erwerben die Studierenden Lösungs- und Beurteilungskompetenzen für das Management von komplexen Modellierungs- und Simulationsprojekten über die Wahl einer Vertiefungsrichtung.
Die Absolventen erwerben die Fähigkeit komplexe technische Zeichnungen zu lesen und zu verstehen und auf Grundlage dessen selbstständig computergestützt Konstruktionen zu entwerfen und bestehende gemäß des betrieblichen Einsatzes weiterzuentwickeln. Die Studierenden können die erworbenen und spezialisierten ingenieurwissenschaftlichen Methoden und Fachkenntnisse zur Formulierung und Lösung komplexer Aufgabenstellungen in der Industrie oder in wissenschaftlichen Forschungseinrichtungen erfolgreich einsetzen.
Zusätzlich werden die Studierenden in der Entwicklung von überfachlichen Kompetenzen unterstützt. Dazu zählen insbesondere Präsentations- und Kommunikationstechniken sowie die Entwicklung von selbstständigen und eigenverantwortlichen Handlungen, Abstraktionsvermögen, systemanalytisches Denken und Teamfähigkeit. Die Ausbildung an der RWTH Aachen qualifiziert die Studierenden, in den verschiedensten Arbeitsfeldern und Branchen weltweit tätig zu werden sowie für eine Tätigkeit in
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Forschung und Entwicklung in Wissenschaft und Industrie.
Struktur des Masterstudiengang Computer Aided Conception and Production in Mechanical Engineering
Das Masterstudium Computer Aided Conception and Production in Mechanical Engineering (CAME) wurde als moderner und multidisziplinärer Studiengang angelegt.
Das Studium umfasst Pflichtfächer, Wahlpflichtfächer, einen obligatorischen Deutschkurs, ein Berufspraktikum sowie die Anfertigung einer Mini Thesis zur Vorbereitung auf die abschließende Masterarbeit. Die Pflicht- und Wahlpflichtfächer werden in englischer Sprache von Professoren der Fakultät für Maschinenwesen durchgeführt. Die Studierenden können sich im Studium auf eine der beiden Vertiefungsrichtungen spezialisieren:
Conception of Machines
Production of Machines
Der obligatorische Deutschkurs wird als einziges nicht-technisches Modul vom Sprachenzentrum der RWTH Aachen University durchgeführt und schließt mit der DSH Prüfung ab. Die Mini Thesis ist mit einer Seminar- oder Entwurfsarbeit zu vergleichen.
Das vierte Semester ist für das Berufspraktikum und die Anfertigung der Masterarbeit vorgesehen. Das Industriepraktikum dient einerseits den Studierenden erste Berufserfahrungen zu sammeln und Kontakte zu potenziellen Arbeitgebern zu knüpfen. In der Masterarbeit wird eine konkrete Fragestellung zur Entwicklung kreativer Problemlösungen unter Anwendung der erlernten ingenieurewissenschaftlichen Methoden selbstständig bearbeitet.
Informationslink http://www.master-mechanical-engineering.com/
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Module: Advanced Software Engineering
Module
Modulbezeichnung
Advanced Software Engineering
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
ASE
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Meisen, Tobias
Lecturer
Dozenten
Meisen, Tobias
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Advanced Software Engineering
After successfully completing this course, the student will have acquired the following learning
outcomes:
Knowledge / Understanding:
a) Students comprehend for what purposes, under which conditions and with which
consequences computer systems are used for the solution of problems related to
Mechanical Engineering.
b) Students gain solid knowledge in the Software Development Life Cycle and also the
main activities and core concepts in different software development phases.
Abilities / Skills:
a) They have the ability to transfer the acquired knowledge in object oriented design to
different engineering problems and understand the general structure and the
functionality of software.
Content
Inhalt
Advanced Software Engineering
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The aim of the course is to explain students for what purposes, under which conditions and
with which consequences computer systems are used for the solution of problems related to
Mechanical Engineering.
Within the first part of the course the steps from problem description to the final software
solution are illustrated. This covers the topics modelling, problem elicitation and analysis,
program design and an introduction to UML (Unified Modelling Language). Then the course
goes on with a closer examination of the various aspects which comprise software
development, concerning topics like design patterns, agile software processes and project
management. Parallel to the lecture the students are given the chance to employ the
theoretical input from the course in small software projects. After an introduction to Java and
object-oriented programming, the students stepwise pass through the particular stages of a
software development process. Moreover, a part of the exercise is implemented by using
physical robots.
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Advanced Software Engineering
MSCAME 5 0 0 0 15-45
Lecture (Vorlesung): Advanced Software Engineering
MSCAME 0 75 30 45
Exercise (Übung): Advanced Software Engineering
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Advanced Software Engineering Studien-/Prüfungsleistung: Prüfung Advanced Software Engineering Title
Titel
Examination Advanced Software Engineering
Prüfung Advanced Software Engineering Sub-title
Untertitel
Exa: ASE
P: ASE Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Advanced Software Engineering Studien-/Prüfungsleistung: Vorlesung Advanced Software Engineering
Title
Titel
Lecture: Advanced Software Engineering Vorlesung: Advanced Software Engineering
Sub-title
Untertitel
L: ASE
V: ASE Semester
Studiensemester
1
Connection to the curriculum
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
9
Curriculare Verankerung
Teaching Unit / Examinations: Exercise Advanced Software Engineering Studien-/Prüfungsleistung: Übung Advanced Software Engineering
Title
Titel
Exercise: Advanced Software Engineering Übung: Advanced Software Engineering
Sub-title
Untertitel
E: ASE
Ü: ASE Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
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Module: Computational Fluid Dynamics I
Module
Modulbezeichnung
Computational Fluid Dynamics I
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
CFD I
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Schröder, Wolfgang
Lecturer
Dozenten
Schröder, Wolfgang
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 120h, Lecture Hours 45h, Self-study 85h
Gesamt 120h, Kontaktzeit 45h, Selbststudium 85h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
4
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Computational Fluid Dynamics I
After successfully completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) Knowledge of the partial differential equations (PDE'S) of fluid mechanics
b) Principles of the discretization of PDE's
c) Understanding of stability and consistency of solution schemes
Abilities / Skills:
a) Formulation of numerical methods for the solution of PDE's
b) Ability to determine und understand the properties of truncation errors of numerical
solution schemes
c) Solution of boundary value problems with iterative solution schemes
d) Implementation of solution schemes on different computer architectures
e) Discussion of several examples of numerical flow simulation to understand
different theoretical aspects in proactical applications
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Discretization on different mesh types
Content
Inhalt
Computational Fluid Dynamics I
Introduction to CFD
Examples of flow simulatiaons
The basic PDE's of Fluid Mechanics
Different Notations
Physical meaning of characteristic lines
Determination of the type of PDE's
Characteristic form of PDE's
The basics of discretization of partial differentials
Truncation error and consistency
Solution schemes for scalar equations
Stability analysis of initial value problems
Discrete disturbance theory
von Neumann ananlysis
CFL-condition
Hirt's stability analysis
Introduction to the numerical solution of boundary value problems
Classical iterative solution methods, Jacobi, Gauß-Seidel methods
Convergence of iterative solution methods
ILU, Krylov subspace methods
Multigrid methods
Transformation of PDE's in curvlinear coordinates
Truncation error on curvelinear grids
Discretization on different unstructured meshes, solution adaptive methods
Triangle or tetrahedral based meshes
Hierarchical Cartesian meshes
Vectorization and parallelization of solution algorithms
Different applications and examples
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Computational Fluid Dynamics I
MSCAME 4 0 0 0 120
Lecture (Vorlesung): Computational Fluid Dynamics I
MSCAME 0 80 30 50
Exercise (Übung): Computational Fluid Dynamics I
MSCAME 0 40 15 35
Teaching Unit / Examinations: Examination Computational Fluid Dynamics I Studien-/Prüfungsleistung: Prüfung Computational Fluid Dynamics I Title Examination Computational Fluid Dynamics I
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Titel Prüfung Computational Fluid Dynamics I
Sub-title
Untertitel
Exa: CFD I P: CFD I
Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Computational Fluid Dynamics I Studien-/Prüfungsleistung: Vorlesung Computational Fluid Dynamics I Title
Titel
Lecture: Vorlesung:
Sub-title
Untertitel
L: CFD I V: CFD I
Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Computational Fluid Dynamics I Studien-/Prüfungsleistung: Übung Computational Fluid Dynamics I
Title
Titel
Exercise: Computational Fluid Dynamics I Übung: Computational Fluid Dynamics I
Sub-title
Untertitel
E: CFD I
Ü: CFD I Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
13
Module: Computational Fluid Dynamics II
Module
Modulbezeichnung
Computational Fluid Dynamics II
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
CFD II
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Schröder, Wolfgang
Lecturer
Dozenten
Schröder, Wolfgang
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 90h, Lecture Hours 15h, Self-study 75h
Gesamt 90h, Kontaktzeit 15h, Selbststudium 75h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
2
ECTS-Credit Points (CP)
Kreditpunkte
3
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Computational Fluid Dynamics I
Learning Objectives
Angestrebte Lernergebnisse
Computational Fluid Dynamics II
After successfully completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) Principles of the numerical solution of Boundary Layer, Euler and Navier-Stokes
equations for compressible flows
b) Properties and different forms of Euler and Navier-Stokes equations
c) Understanding of central and upwind discretization schemes for Euler and Navier-
Stokes equations
Abilities / Skills:
a) Formulation of efficient explicit and implicit solu-tion schemes for Euler and Navier-Stokes equations
b) Ability to develop solution and simulation algorithms for systems of partial
differential equation
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Several program examples will show how the theory is applied in the numerical simulation of
different flow problems
Content
Inhalt
Computational Fluid Dynamics II
Introduction to CFD
Examples of flow simulatiaons
The basic PDE's of Fluid Mechanics
Different Notations
Physical meaning of characteristic lines
Determination of the type of PDE's
Characteristic form of PDE's
The basics of discretization of partial differentials
Truncation error and consistency
Solution schemes for scalar equations
Stability analysis of initial value problems
Discrete disturbance theory
von Neumann ananlysis
CFL-condition
Hirt's stability analysis
Introduction to the numerical solution of boundary value problems
Classical iterative solution methods, Jacobi, Gauß-Seidel methods
Convergence of iterative solution methods
ILU, Krylov subspace methods
Multigrid methods
Transformation of PDE's in curvlinear coordinates
Truncation error on curvelinear grids
Discretization on different unstructured meshes, solution adaptive methods
Triangle or tetrahedral based meshes
Hierarchical Cartesian meshes
Vectorization and parallelization of solution algorithms
Different applications and examples
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Computational Fluid Dynamics II
MSCAME 3 0 0 0 90
Lecture (Vorlesung): Computational Fluid Dynamics II
MSCAME 0 70 10 60
Exercise (Übung): Computational Fluid Dynamics II
MSCAME 0 20 5 15
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Teaching Unit / Examinations: Examination Computational Fluid Dynamics II Studien-/Prüfungsleistung: Prüfung Computational Fluid Dynamics II Title
Titel
Examination Computational Fluid Dynamics II
Prüfung Computational Fluid Dynamics II Sub-title
Untertitel
Exa: CFD II
P: CFD II Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Computational Fluid Dynamics II Studien-/Prüfungsleistung: Vorlesung Computational Fluid Dynamics II Title
Titel
Lecture: Vorlesung:
Sub-title
Untertitel
L: CFD II
V: CFD II Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Computational Fluid Dynamics II Studien-/Prüfungsleistung: Übung Computational Fluid Dynamics II
Title
Titel
Exercise: Computational Fluid Dynamics II Übung: Computational Fluid Dynamics II
Sub-title
Untertitel
E: CFD II
Ü: CFD II Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
16
Module: Computational Modeling of Membranes and Shells
Module
Modulbezeichnung
Computational Modeling of Membranes and Shells
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
CMMS
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Sauer, Roger
Lecturer
Dozenten
Sauer, Roger
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 45h, Self-study 105h
Gesamt 150 h, Kontaktzeit 45 h, Selbststudium 105h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Computational Modeling of Membranes and Shells
During the course students will obtain knowledge of computational modeling of membranes
and shells and study the subject matter by considering realistic problems. After successfully
completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) Students can identify the different aspects of numerical models for membranes and shells
b) Students understand the mathematical and physical origin of those numerical models
c) Students know how to derive numerical discretization methods for those models
Abilities / Skills:
a) Students are able to derive new numerical discretization methods for membranes and shells
b) Students are able to transfer the membrane and shell formulation to other
constitutive laws
17
c) Students are able to implement membrane and shell formulation in existing
software programmes
d) Students are able to evaluate the accuracy of numerical results in software
programmes
Content
Inhalt
Computational Modeling of Membranes and Shells
1. General mathematical foundations
2. Differential geometry
3. Summary of continuum mechanics
4. Membrane kinematics considering large deformation
5. Constitutive laws for membranes
6. Membrane equilibrium in strong and weak form
7. Summary of isogeomatric finite element methods
8. Numerical discretization methods for membranes
9. Extension of the formulation to shells
10. Rotationfree discretization methods for Kirchhoff-Love-Shells
11. Practical implementation of 8. & 10
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Computational Modeling of Membranes and Shells
MSCAME 3 0 0 0 90
Lecture (Vorlesung): Computational Modeling of Membranes and Shells
MSCAME 0 45 15 30
Exercise (Übung): Computational Modeling of Membranes and Shells
MSCAME 0 45 15 30
Teaching Unit / Examinations: Examination Computational Modeling of Membranes and Shells Studien-/Prüfungsleistung: Prüfung Computational Modeling of Membranes and Shells Title
Titel
Examination Computational Modeling of Membranes and Shells
Prüfung Computational Modeling of Membranes and Shells Sub-title
Untertitel
Exa: CMMS
P: CMMS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Examination Computational Modeling of Membranes and Shells Studien-/Prüfungsleistung: Vorlesung Examination Computational Modeling of Membranes and Shells
Title
Titel
Lecture: Vorlesung:
18
Sub-title
Untertitel
L: CMMS
V: CMMS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Examination Computational Modeling of Membranes and Shells
Studien-/Prüfungsleistung: Übung Examination Computational Modeling of Membranes and Shells
Title
Titel
Exercise: Computational Modeling of Membranes and Shells Übung: Computational Modeling of Membranes and Shells
Sub-title
Untertitel
E: CMMS
Ü: CMMS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
19
Module: Continuum Mechanics
Module
Modulbezeichnung
Continuum Mechanics
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
CM
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Continuum Mechanics
During the course students will obtain knowledge of the principles of continuum mechanics
and exercise the subject matter by considering realistic problems. After successfully
completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) Description of the state of strain and stress in a material body that undergoes large elastic deformations
b) Calculation of strain and stress tensors
c) Understanding and applying the principle of virtual work and balance equations of mechanics
d) Understanding the principles of the constitutive theory
Abilities / Skills:
a) Applying material laws
b) Utilization of read scientific literature on continuum mechanics.
20
Throughout the course, the students will use and practice the modern absolute notation for
tensors. Furthermore, examples based on Cartesian and curvilinear coordinates will be
considered.
Content
Inhalt
Continuum Mechanics
Material bodies, configuration, coordinates
Rigid body motion
Deformation gradient
Deformation of surface and volume elements
Strain, stretch and shear
Spectral decomposition of strain tensors
Strain invariants
Polar decomposition of the deformation gradient, stretch tensors
Strain measures
Velocity gradient
Cauchy stress tensor
Linear momentum balance
Scalar form of the linear momentum balance
Rotational momentum balance
Balance of mechanical energy
Work-conjugate stress-strain pairs
General principles of the constitutive theory, Noll axioms
Change of frame, objectivity
General constitutive relation, simple materials
Elastic materials
Material symmetry, isotropic materials
Hyperelastic materials
Project work: inflation of a rubber balloon, experimental study and theoretical modeling
Mock-Examination
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Continuum Mechanics
MSCAME 5 0 0 0 180
Lecture (Vorlesung): Continuum Mechanics
MSCAME 0 75 30 45
Exercise (Übung): Continuum Mechanics
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Continuum Mechanics Studien-/Prüfungsleistung: Prüfung Continuum Mechanics Title
Titel
Examination Continuum Mechanics
Prüfung Continuum Mechanics Sub-title
Untertitel
Exa: CM
P: CM Semester
Studiensemester
2
21
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Continuum Mechanics Studien-/Prüfungsleistung: Vorlesung Continuum Mechanics
Title
Titel
Lecture: Continuum Mechanics Vorlesung: Continuum Mechanics
Sub-title
Untertitel
L: CM
V: CM Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Continuum Mechanics
Studien-/Prüfungsleistung: Übung Continuum Mechanics
Title
Titel
Exercise: Continuum Mechanics Übung: Continuum Mechanics
Sub-title
Untertitel
E: CM
Ü: CM Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
22
Module: Control Engineering
Module
Modulbezeichnung Modeling, Model Reduction and Simulation in Laser Processing - Design
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
CE
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Abel, Dirk
Lecturer
Dozenten
Abel, Dirk
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 90h, Lecture Hours 60h, Self-study 30h
Gesamt 90h, Kontaktzeit 60h, Selbststudium 30h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
3
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Control Engineering
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) know, recognize and classify the most common linear control loop elements
b) the effects of feedback and apply different methods to set up feedback elements
(controllers) such that predefined control goals are met
Abilities / Skills:
a) to analyze dynamical, biological and biomedical systems and identify the relevant
causalities
b) to employ different mathematical descriptions of dynamical systems
c) to solve differential equations by means of Laplace transform
d) to assess of the stability of dynamical systems by using different methods
e) to obtain, interpret and employ the frequency response of dynamical systems
23
Content
Inhalt
Control Engineering
Significance of control theory, examples of biological and biomedical control loops, functional
diagrams, linearization, set up and solving of differential equations, stability, features in time
domain of dynamical systems, Laplace transform, transfer function, frequency response,
functional diagram algebra, features in frequency domain of dynamical systems, bode
diagram, Nyquist plot, Linear control loop elements, principle and goals of controller design,
algebraic stability criteria, steady state analysis and transient performance of a control loop,
controller setting rules, Nyquist stability criterion, phase margin, gain margin, controller
design in bode diagram.
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Control Engineering
MSCAME 3 0 0 0 120
Lecture (Vorlesung): Control Engineering
MSCAME 0 45 30 15
Exercise (Übung): Control Engineering
MSCAME 0 45 30 20
Teaching Unit / Examinations: Examination Control Engineering Studien-/Prüfungsleistung: Prüfung Manufacturing Control Engineering Title
Titel
Examination Control Engineering
Prüfung Control Engineering Sub-title
Untertitel
Exa: CE
P: CE Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Control Engineering Studien-/Prüfungsleistung: Vorlesung Control Engineering
Title
Titel
Lecture: Control Engineering Vorlesung: Control Engineering
Sub-title
Untertitel
L: CE
V: CE Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Control Engineering
Studien-/Prüfungsleistung: Übung Control Engineering
Title
Titel
Exercise: Control Engineering Übung: Control Engineering
24
Sub-title
Untertitel
E: CE
Ü: CE Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
25
Module: Modeling, Model Reduction and Simulation in Laser Processing - Design
Module
Modulbezeichnung
Modeling, Model Reduction and Simulation in Laser Processing - Design
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
DLP
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Lecturer
Dozenten Univ.-Prof. Dr. rer. nat. Wolfgang Schulz
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Oral Exam (Exa), Lecture (L), Exercise (E)
Mündliche Prüfung (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150h, Kontaktzeit 60h, Selbststudium 90h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Modeling, Model Reduction and Simulation in Laser Processing - Design
Overall goal: Students gain theoretical and practical knowledge to design laser processes by understanding laser induced phenomena and the needs of use to meet the performance suited to current and future markets demand.
After successfully completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) Design of Research is based on formulation of a research question followed by
research hypothesis, state of the art, contributions of theory and experiment;
b) Design Thinking for laser specification and laser processes by formulating specific
research hypothesis leading to Reduced Models using the methods: 1.
Dimensional Analysis, 2. Dimensionless groups, 3. Inertial Manifolds and Central
Manifolds, 4. Length scale analysis and time scale separation;
c) know how to adapt laser properties to high performance processing;
d) understand the interactive cooperation of scientists from engineering, physics and
mathematics for application of model based methods for diagnosis in laser
processing.
26
Abilities / Skills:
a) apply model based methods for solving practical tasks of laser design.
Content
Inhalt
Modeling, Model Reduction and Simulation in Laser Processing - Design
Overview of contents, definition of the 4 methodological (M1-M4) and 5 laser specific (L1-L5)
learning targets:
Learning target M1 - Cooperation Engineering: the contribution of the engineer to the
interactive cooperation of scientific disciplines (“FlowChart” approach)
Learning target M2 - Meta-Modelling: main features of the theories for “design thinking” by
“meta-modelling” are
model reduction methods MRM:
mathematical, empirical and numerical approaches
global approximation and optimization methods
sensitivity analysis and hierarchical models
Learning target M3 - model reduction methods MRM:
Buckingham’s Pi-Theorem(mathematical MRM)
Model hierarchy threshold (empirical MRM))
Kriging global approximation versus response surface
(numerical MRM)
Proper orthogonal decomposition POD(numerical MRM)
Learning target M4 - mathematical MRM:
Analysis of dissipative distributed systems
applied to standard examples
Time scale separation (Inertial manifolds)
Singular perturbation
Learning target L1 – heating and melting phenomena
Laser Polishing (Marangoni effect, evaporation)
Learning target L2 - evaporation phenomena
Laser induced thermal stress analysis
Laser driven EUV-Sources (Extreme Ultra-Violet EUV)
Laser Propulsion - Light Engine
Learning target L3 - linear excitation phenomena
Laser Induced Fluorescence (LIF): biological carrier for TNT detection
Learning target L4 - nonlinear Multi-Photon phenomena
Laser Filamentation – Kerr effect, Multi-photon absorption
Multi-Photon Lithography
Learning target L5 - Coherence phenomena
Optical Coherence Tomography (OCT)
Particle detection (PIV, LDV, DGV, FRS)
Laser Interferometer Space Antenna (LISA)
Laser Time Measurement - Frequency Comb
Physical Limits related to energy manipulation (Laser Fusion, Laser Cooling)
Concluding discussion of the learning targets and
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Modeling, Model Reduction
MSCAME 5 0 0 0 120
27
and Simulation in Laser Processing - Design
Lecture (Vorlesung): Modeling, Model Reduction and Simulation in Laser Processing - Design
MSCAME 0 75 30 45
Exercise (Übung): Modeling, Model Reduction and Simulation in Laser Processing - Design
MSCAME 0 75 30 45
Teaching Unit / Examinations: Modeling, Model Reduction and Simulation in Laser Processing - Design Studien-/Prüfungsleistung: Prüfung Modeling, Model Reduction and Simulation in Laser Processing - Design Title
Titel
Examination Modeling, Model Reduction and Simulation in Laser Processing - Design
Prüfung Modeling, Model Reduction and Simulation in Laser Processing - Design Sub-title
Untertitel
Exa: DLP
P: DLP Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser Processing - Design Studien-/Prüfungsleistung: Vorlesung Modeling, Model Reduction and Simulation in Laser Processing - Design
Title
Titel
Lecture: Modeling, Model Reduction and Simulation in Laser Processing - Design Vorlesung: Modeling, Model Reduction and Simulation in Laser Processing - Design
Sub-title
Untertitel
L: DLP
V: DLP Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser Processing - Design
Studien-/Prüfungsleistung: Übung Modeling, Model Reduction and Simulation in Laser Processing - Design
Title
Titel
Exercise: Modeling, Model Reduction and Simulation in Laser Processing - Design Übung: Modeling, Model Reduction and Simulation in Laser Processing - Design
Sub-title
Untertitel
E: DLP
Ü: DLP Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
28
Module: Failure of Structures and Structural Elements
Module
Modulbezeichnung
Failure of Structures and Structural Elements
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
FSSE
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Hachemi, Abdelkader
Lecturer
Dozenten
Hachemi, Abdelkader; Weichert, Dieter
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 45h, Self-study 105h
Gesamt 150h, Kontaktzeit 45h, Selbststudium 105h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Failure of Structures and Structural Elements
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) Knowledge about the physical effects leading to failure of structures and
mechanical systems:
excessive elastic deformations,
buckling of load carrying elements,
permanent plastic deformations,
material damage,
initiation and propagation of cracks.
b) Predictions by means of limit and shakedown theories, failure of structures and
mechanical systems under monotonic and cyclic loads and determination of
corresponding load-carrying capacities.
c) Modelling the phenomenon of fracture and determination of critical loads for crack
propagation
29
d) Knowledge about the most important types of failure and description of their
occurrence with respect to functional requirements of mechanical elements.
Abilities / Skills:
e) Determination of limit loads for structures
f) Modelling the phenomenon of fracture and determine critical loads for crack
propagation
g) Transfer theoretical and mathematical models to actual engineering problems and
implementation into design codes
h) State-of-the-art numerical methods for the use of failure criteria in applied
mechanical engineering.
Exercises are integrated in the lecture so that students work individually or in groups on
practical examples.
Content
Inhalt
Failure of Structures and Structural Elements
Recall of fundamentals in continuum mechanics
Notion of “failure” in mechanical engineering.
Geometry and deformation: strain tensors
Mechanical and thermal loading: stress tensors
Conservation laws
Material behaviour: elasticity, elasto-plasticity, hardening, damage
Anisotropy
Yield-conditions and flow rules in plasticity and visco-plasticity
Direct methods: Lower and upper bound theorems of limit analysis
Examples of application of the theorems of limit analysis
Direct methods: Lower and upper bound theorems of shakedown analysis
Examples of application of shakedown theory
Notion and concepts of fracture mechanics
Linear elastic fracture mechanics
Elastic-plastic fracture mechanics
J-integral and other path-independent integrals
Kinematic criteria
Examples of application of fracture mechanics
Use of finite element methods
Software features, examples
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Failure of Structures and Structural Elements
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Failure of Structures and Structural Elements
MSCAME 0 105 30 75
Exercise (Übung): Failure of Structures and Structural Elements
MSCAME 0 45 15 30
30
Teaching Unit / Examinations: Examination Failure of Structures and Structural Elements Studien-/Prüfungsleistung: Prüfung Failure of Structures and Structural Elements Title
Titel
Examination: Failure of Structures and Structural Elements
Prüfung: Failure of Structures and Structural Elements Sub-title
Untertitel
Exa: FSSE
P: FSSE Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Failure of Structures and Structural Elements Studien-/Prüfungsleistung: Vorlesung Failure of Structures and Structural Elements
Title
Titel
Lecture: Failure of Structures and Structural Elements Vorlesung: Failure of Structures and Structural Elements
Sub-title
Untertitel
L: FSSE
V: FSSE Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Failure of Structures and Structural Elements Studien-/Prüfungsleistung: Übung Failure of Structures and Structural Elements
Title
Titel
Exercise: Failure of Structures and Structural Elements Übung: Failure of Structures and Structural Elements
Sub-title
Untertitel
L: FSSE
V: FSSE Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
31
Module: Advanced Finite Element Methods
Module
Modulbezeichnung
Advanced Finite Element Methods
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
AFEM
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Advanced Finite Element Methods
The aim of the course is to impart the elementary knowledge about finite element methods
and their application to solid and structural mechanics.
After successfully completing this course, the student will have acquired the following
learning outcomes.
The students will
Knowledge / Understanding:
a) understand why the FE-Method and the other numerical methods behind are
important for engineering practice
b) understand the concept of FEM
c) be able to find solutions for truss systems under various boundary conditions
d) understand the concepts of variational calculus
e) be able to find solutions for mechanical problems by using weighted residual
methods
f) be able to use finite element method for plane strain, plane stress and torsion
problems
32
Content
Inhalt
Advanced Finite Element Methods
General introduction, concept of the finite element method
Symbolic assembly procedure
Assembly procedure
Global and local coordinates
Stiffness matrix for trusses / coordinate
transformation
Variational techniques
Solution of truss structures.
Variational techniques, Euler-Lagrange equation
Natural and forced boundary conditions
Multiple integrals, Gauss-Theorem
Variations of elementary algebraic functions
Variational principle for linear self-adjoint diff. operators
Solution of some classical variational problems
Principle of virtual work as a weak form of the momentum balance, variational
principles of mechanics (Lagrange, Hu-Washizu)
Differential equation of a linear elastic bar, analytic solution for various load cases
Rayleigh-Ritz method, weighted residual approximations, Point or subdomain
collocation
Galerkin method, least-squares method, linear elastic bar approximated by a
continuous shape function
Displacement formulation
Three-field (mixed) formulation
Examples to weighted residual approximations
Requirements to shape functions
Continuous shape functions, piecewise defined shape functions, approximation by
piecewise defined shape functions.
Two-dimensional problems of elasticity, triangular element, plain strain and plane
stress problems
Torsion of a prismatic bar
Examples for plain strain and plane stress problems discretized by linear triangular
elements
Axisymmetric stress analysis, 3-D stress analysis
Revision course
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Advanced Finite Element Methods
MSCAME 5 0 0 0 120
Lecturue (Vorlesung): Advanced Finite Element Methods
MSCAME 0 75 30 45
33
Exercise (Übung): Finite Advanced Finite Element Methods
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Advanced Finite Element Methods Studien-/Prüfungsleistung: Prüfung Advanced Finite Element Methods Title
Titel
Examination Advanced Finite Element Methods
Prüfung Advanced Finite Element Methods Sub-title
Untertitel
Exa: AFEM
P: AFEM Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Advanced Finite Element Methods Studien-/Prüfungsleistung: Vorlesung Advanced Finite Element Methods
Title
Titel
Lecture: Advanced Finite Element Methods
Vorlesung: Advanced Finite Element Methods Sub-title
Untertitel
L: AFEM
V: AFEM Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Advanced Finite Element Methods Studien-/Prüfungsleistung: Übung Advanced Finite Element Methods
Title
Titel
Exercise: Advanced Finite Element Methods Übung: Advanced Finite Element Methods
Sub-title
Untertitel
E: AFEM
Ü: AFEM Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
34
Module: Finite Element Methods in Lightweight Design
Module
Modulbezeichnung
Finite Element Methods in Lightweight Design
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
FEMLWD
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Reimerdes, Hans-Günther
Lecturer
Dozenten
Reimerdes, Hans-Günther
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 45h, Self-study 105h
Gesamt 150 h, Kontaktzeit 45 h, Selbststudium 105 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Finite Element Methods in Lightweight Design
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge and Understanding:
Students
a) know the mechanical and mathematical relations used in the Finite Element
Method.
b) understand the structural problems to be solved and the underlying fundamentals
of the solution methods that are provided by commercial codes.
Abilities / Skills:
Students
a) are able to apply the Finite Element Method properly in order to achieve reliable
numerical results for linear structural problems.
35
b) are able to analyse the Finite Element models according to the desired field of
application, taking the assumptions of solution methods into account.
Competencies:
Students
a) have learned to work with commercial codes and to find those solutions from the
software handbook that are suited best for the investigated structural problem.
b) are able to interpret the achieved numerical results and evaluate their correctness.
Content
Inhalt
Finite Element Methods in Lightweight Design
Recapitulation of the principles of the Finite Elements Method
Limitation of elements
Selection criteria
Pre/Postprocessing
meshing, incompatible meshes
Isoparametric element family
Numerical integration schemes
Numerical Integrating schemes
Element locking
Reduced integration to avoid locking
Dynamic problems
Introduction and fundamental equations
Finite element formulation
Eigenvalue problems
Integration in the time domain (implicit and explicit)
Modal superposition
Condensation techniques
substructure
static condensation
dynamic condensation
Introduction to nonlinear analysis
Geometric nonlinearities
Material nonlinarities
Iteration procedures
Stability behaviour of structures
Fundamental equations
Linear stability analysis
Introduction to contact problems
Finite Elements procedures
Introduction to crash and impact
Integration schemes
Hourglass oscillation
Energy balance
Element deletion techniques
Strain-rate dependent material behavior
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Finite Element Methods in Lightweight Design
MSCAME 5 0 0 0 120
36
Lecture (Vorlesung): Finite Element Methods in Lightweight Design
MSCAME 0 105 30 75
Exercise (Übung): Finite Element Methods in Lightweight Design
MSCAME 0 45 15 30
Teaching Unit / Examinations: Examination Finite Element Methods in Lightweight Design Studien-/Prüfungsleistung: Prüfung Finite Element Methods in Lightweight Design Title
Titel
Examination Finite Element Methods in Lightweight Design
Prüfung Finite Element Methods in Lightweight Design Sub-title
Untertitel
Exa: FEMLWD
P: FEMLWD Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Finite Element Methods in Lightweight Design Studien-/Prüfungsleistung: Vorlesung Finite Element Methods in Lightweight Design
Title
Titel
Lecture: Finite Element Methods in Lightweight Design Vorlesung: Finite Element Methods in Lightweight Design
Sub-title
Untertitel
L: FEMLWD
V: FEMLWD Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Finite Element Methods in Lightweight Design Studien-/Prüfungsleistung: Übung Finite Element Methods in Lightweight Design
Title
Titel
Exercise: Finite Element Methods in Lightweight Design Übung: Finite Element Methods in Lightweight Design
Sub-title
Untertitel
E: FEMLWD
Ü: FEMLWD Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
37
Module: Fundamentals of Lightweight Design
Module
Modulbezeichnung
Fundamentals of Lightweight Design
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
FLWD
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Reimerdes, Hans-Günther
Lecturer
Dozenten
Reimerdes, Hans-Günther
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 120h, Lecture Hours 45h, Self-study 75h
Gesamt 120 h, Kontaktzeit 45 h, Selbststudium 75 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
4
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Fundamentals of Lightweight Design
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge and Understanding:
Students
a) know methods to pre-design lightweight structures for various loading and
boundary conditions.
b) understand the conception of structure idealisation and analytical calculation tools
in lightweight structural design.
Abilities / Skills:
Students
a) are able to calculate stresses and deformations ofthin-walled lightweight structures
and to design them properly, taking into account the appropriate idealisation as
well as the assumptions of the theory.
b) are able to analyse lightweight structures according to their desired field of
application.
38
Competencies:
Students
a) have learned to solve structural problems by application of engineering
approaches.
b) are able to assess the validity of results of numerical simulation software.
c) are able to evaluate existing structural concepts, develop ideas for improvements
and communicate their results.
Content
Inhalt
Fundamentals of Lightweight Design
Introduction to Lightweight Design
Motivation, definitions, concepts
Special aspects of light structures
Materials used in Lightweight Design
Equations of continuum mechanics
Idealization of structures
Equilibrium conditions
o Statically determined support of 2-dim and 3-dim structures
o Determination of external and internal forces
2-dim and 3-dim truss type structures
o General equations
o Design concepts
Beams loaded in bending and shear
o General equations
Differential equation of shear rigid beams
Matrix formulations: transfer matrix, stiffness matrix
Shear flexible beam
Shear deformation
Shear flow in thin walled beams
o Open cross section
o Closed cross section
o Shear center
Plastic bending
o Combined normal and bending load
Torsion of beams (St. Venants Torsion)
o Solid sections
o Closed thin walled sections
o Open thin walled sections
o Bending Torsion
Introduction to shear web theory
Open and closed section beams
2-dim shear web structures
rectangular, parallelogram, trapezoidal and general 4node webs
3-dim shear web structures
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Fundamentals of Lightweight Design
MSCAME 4 0 0 0 120
39
Lecture (Vorlesung): Fundamentals of Lightweight Design
MSCAME 0 75 30 45
Exercise (Übung): Fundamentals of Lightweight Design
MSCAME 0 45 15 30
Teaching Unit / Examinations: Examination Fundamentals of Lightweight Design Studien-/Prüfungsleistung: Prüfung Fundamentals of Lightweight Design Title
Titel
Examination Fundamentals of Lightweight Design
Prüfung Fundamentals of Lightweight Design Sub-title
Untertitel
Exa: FLWD
P: FLWD Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Prüfung Fundamentals of Lightweight Design Studien-/Prüfungsleistung: Vorlesung Prüfung Fundamentals of Lightweight Design
Title
Titel
Lecture: Prüfung Fundamentals of Lightweight Design Vorlesung: Prüfung Fundamentals of Lightweight Design
Sub-title
Untertitel
L: FLWD
V: FLWD Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Prüfung Fundamentals of Lightweight Design Studien-/Prüfungsleistung: Übung Prüfung Fundamentals of Lightweight Design
Title
Titel
Exercise: Prüfung Fundamentals of Lightweight Design Übung: Prüfung Fundamentals of Lightweight Design
Sub-title
Untertitel
E: FLWD
Ü: FLWD Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
40
Module: German Language Course
Module
Modulbezeichnung
German Language Course
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
GLC
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Lecturer
Dozenten
Language
Sprache
German
Deutsch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 180h, Lecture Hours 60h, Self-study 120h
Gesamt 180 h, Kontaktzeit 60 h, Selbststudium 120 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
6
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
- none -
Learning Objectives
Angestrebte Lernergebnisse
German Language Course
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) Knowledge on German Culture and Cultural Studies;
b) Qualification to accomplish everyday communication within university surroundings
(dormitory, cafeteria etc.)
c) Understanding cultural situations at German universities
Abilities / Skills:
a) Prerequisites for culturally adequate application documents for internships (CV,
letter of motivation);
41
Content
Inhalt
German Language Course
Getting to know someone
Introducing oneself
City explorations
Orientation in the city
Techniques: learning and remembering words
Buying groceries
Communication on the phone
Techniques: learning grammar systematically
Calendar, festivities
Holidays
Learning and forgetting
Learning psychology
German newspapers
Reading habits
When in Rome, do as the Romans do
Intercultural experience
Media
Geographic German studies
Inventions and progress
Between cultures
Environmental protection/problems
Project Europe
Job market Germany
Applications
CVs
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): German Language Course
MSCAME 6 0 0 0 200
Lecture (Vorlesung): German Language Course
MSCAME 0 90 30 60
Exercise (Übung): German Language Course
MSCAME 0 90 30 60
Teaching Unit / Examinations: Examination German Language Course Studien-/Prüfungsleistung: Prüfung German Language Course Title
Titel
Examination German Language Course
Prüfung German Language Course Sub-title
Untertitel
Exa: GLC
P: GLC Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
42
Teaching Unit / Examinations: Lecture German Language Course Studien-/Prüfungsleistung: Vorlesung German Language Course
Title
Titel
Lecture: German Language Course Vorlesung: German Language Course
Sub-title
Untertitel
L: GLC
V: GLC Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise German Language Course Studien-/Prüfungsleistung: Übung German Language Course
Title
Titel
Exercise: German Language Course Übung: German Language Course
Sub-title
Untertitel
E: GLC
Ü: GLC Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
43
Module: Industrial Engineering and Ergonomics
Module
Modulbezeichnung Industrial Engineering and Ergonomics
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel IE
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 1
Person in Charge
Modulverantwortliche Schlick, Christopher
Lecturer
Dozenten Schlick, Christopher
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 60h, Self-study 90h Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h
Lecture hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Industrial Engineering and Ergonomics
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) know and understand the essentials of work science covering technical, organizational and personnel aspects.
Abilities / Skills:
a) able to interpret respective work situations, predict consequences and future work system states
Competencies:
a) able to independently scrutinize and discuss the proposed methods and theories and also judge their applicability.
b) by using the methods students are able to analyze work systems according to various practical problems.
c) able to apply the theoretical models, methodologies and practical techniques to problem solution and work system design in modern enterprises
44
Content
Inhalt
Industrial Engineering and Ergonomics
Work as a Scientific Field of Research
• Fundamentals of industrial engineering
• Trends and challenges in the field of industrial engineering
Industrial Organization and Work Organization
• Classification of industrial organization and work organization in modern industries
• Modelling options of structure organization and process organization
• Principles of function and object oriented order processing
• Traditional industrial organizations and trends
• Methods of activity planning and scheduling
Work Organization within Direct and Indirect Departments
• The phenomenon ''organization''
• Charateristics of direct and indirect departments
• Types of work organization in direct and indirect departments
Work and Time Study I
• The operational purpose of time data
• REFA types of activities and REFA types of times
• Methods for the determination of time data
• The REFA Stop Watch Time Study method and the work sampling method
Work and Time Study II
• The principles of the sequence-analytic time modelling (predetermined motion-time
systems)
• Application of MTM (,,Methods Time Measurement'')
Ergonomic Design and Usability Engineering
• Design criteria and requirements of ergonomic design
• Anthropometric design
• Methods for the analysis of movement-, sight- and reaching-areas
• Computer aided design and evaluation aids
Computer and Office Work
• Conventional and modern components of a computer workstation
• Overview of display technologies
• Aspects of work psychology
• Risk assessment for computer work stations
• Office concepts
Ergonomic Work Place Design in Production Areas
• Different types of physical and muscular work
• Factors influencing spine damage
• Methods for assessing the danger of spine damage at work places
• Physiological principles of work place design
Occupational Risk Prevention (ORP)
• Effects of occupational safety for the company and national economy
• Terms of safety science
• Technical, organizational and personal measures of occupational risk prevention
Work Ecology - Noise and Hazardous Substances
• Physical and psychological measurement categories of sound
• Noise induced hearing damages
• Organizational and personal noise control
45
• Taxonomy and effects of hazardous substances
Work Ecology II - Illumination
• Physical and physiological essentials of illumination
• Effects of lighting on work performance and health
• Measurement of light
• Relevance of illumination for workplace design
Remuneration and Motivation
• Forms of remuneration
• Relationship between remuneration and motivation
• Approaches to job evaluation
Interorganziational Cooperation and Suitable Information
• Technological (IT) Support
• Terms of network technology
• Software tools for the support of coordination, cooperation and communication
• Effects of the technology on enterprises and employees
• Forms of organizations and conditions suitable for the use of network technology
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Industrial Engineering and Ergonomics
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Industrial Engineering and Ergonomics
MSCAME 0 75 30 45 0
Exercise (Übung): Industrial Engineering and Ergonomics
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Examination Industrial Engineering and Ergonomics Studien-/Prüfungsleistung: Prüfung Industrial Engineering and Ergonomics
Title
Titel Examination Industrial Engineering and Ergonomics Prüfung Industrial Engineering and Ergonomics
Sub-title
Untertitel Exa IE P IE
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Industrial Engineering and Ergonomics Studien-/Prüfungsleistung: Vorlesung Industrial Engineering and Ergonomics
Title
Titel Lecture Industrial Engineering and Ergonomics Vorlesung Industrial Engineering and Ergonomics
Sub-title
Untertitel L IE V IE
Semester
Studiensemester 1
46
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Industrial Engineering and Ergonomics Studien-/Prüfungsleistung: Übung Industrial Engineering and Ergonomics
Title
Titel Exercise Industrial Engineering and Ergonomics Übung Industrial Engineering and Ergonomics
Sub-title
Untertitel E IE Ü IE
Semester
Studiensemester 4
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
47
Module: Industrial Internship
Module
Modulbezeichnung
Industrial Internship
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
Industrial Internship
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
4
Person in Charge
Modulverantwortliche
Es sind keine Modulverantwortliche eingetragen worden.
Lecturer
Dozenten
Language
Sprache
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 9 weeks Gesamt 9 Wochen
Lecture hours / Lecture Hours
Kontaktzeit (SWS)
0
ECTS-Credit Points (CP)
Kreditpunkte
9
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
See Guidelines for Practical Work Experience
Siehe Richtlinien für die berufspraktische Tätigkeit
Content
Inhalt
See Guidelines for Practical Work Experience
Siehe Richtlinien für die berufspraktische Tätigkeit Media
Medienform
Literature
Literatur
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Report (Bericht), Colloquium MSCAME 9 0 0 0 0
Teaching Unit / Examinations: Industrial Internship
48
Studien-/Prüfungsleistung: Industrial Internship
Title
Titel
Industrial Internship
Industrial Internship Sub-title
Untertitel
Exa: IndI
P: IndI Semester
Studiensemester
4
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
49
Module: Machine Design Process and Practical Applications of Computer- Aided
Engineering Tools
Module
Modulbezeichnung
Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
MDP & CAET
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Feldhusen, Jörg
Lecturer
Dozenten
Brezing, Alexander; Feldhusen, Jörg
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 210h, Lecture Hours 75h, Self-study 135h
Gesamt 210 h, Kontaktzeit 75 h, Selbststudium 135 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
5
ECTS-Credit Points (CP)
Kreditpunkte
7
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Machine Design Process and Practical Applications of Computer- Aided Engineering
Tools
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
Students
a) know the most common machine elements and applicable design rules, standards
and understand production drawings including dimensions and tolerances.
b) know structured problem solving strategies, esp. the engineering design process
acc. to VDI 2221.
c) know the structure and some examples of the body of design rules
d) know the functionality of parametric 3D CAD software as well as the common
modelling techniques and the workflow to produce part and assembly models and
drawings.
Abilities / Skills:
50
a) Students are able to operate commercial 3D CAD software and apply the common
modelling techniques to produce part and assembly models and drawings.
Competencies:
Students
a) are able to analyse and design mechanical systems using common machine
elements through the ability to read and understand as well as draft assembly
drawings according to ISO drawing standards and define the production
specifications on machined parts through the ability of drafting production drawings
according to ISO drawing standards.
b) are able to identify possible restrictions on a design task and to develop and select
applicable concept solutions with a systematic approach.
c) are able to assess the applicability of design rules depending on effective design
restrictions. Rules of embodiment design, design principles and guidelines are
applied to draw up technical drafts.
Content
Inhalt
Machine Design Process and Practical Applications of Computer- Aided Engineering
Tools
Topic: Introduction
Topic: Drawing Standards I
Projection drawing and axonometric views
Elements of technical drawings
Dimensioning
Topic: Drawing Standards II
Section views
Broken views
Topic: Joins and Connections
Connection types
Bolted connections
Shaft and hub connections
Topic: Geometrical Irregularities and Tolerances
Dimension tolerances
Form and position tolerances
Technical surfaces
Topic: Bearing of Shafts
Bearing principles
Bearing arrangements
Seals
Topic: Power Transmission
Definitions and principles
Technical representation
Examples
Topic: Engineering Design Process, Requirements List
Introduction to design methodology
General process of engineering design
Requirements list
Topic: Conceptual Design I
Function structures and principle solutions
Design catalogues
Heuristic and analogy methods
Topic: Conceptual Design II
51
Systematic variation, classification schemes
Overall solutions: morphological matrix
Topic: Design Rules I - Essential Rules
Introduction to design rules
Essential rules ´simple´ and ´clear´
Essential rules ´safe´
Topic: Design Rules II - Principles
Principles of fault-free design, force transmission, stability and bi-stability, self-help,
division of tasks
Topic: Design Rules III - Guidelines / DFX
Selected examples: design for assembly and production...
Topic: Parametric 3D CAD
Part Modelling
Assembly modelling
Drafting
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
MSCAME 7 0 0 0 150
Lecture (Vorlesung): Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
MSCAME 0 90 30 60
Exercise (Übung): Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
MSCAME 0 90 30 60
Practical Session (Praktikum) Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
MSCAME 0 30 15 15
Teaching Unit / Examinations: Examination Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Studien-/Prüfungsleistung: Prüfung Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Title
Titel
Examination Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Prüfung Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Sub-title
Untertitel
Exa: MDP & CAET E
P: MDP & CAET Semester
Studiensemester
3
52
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Studien-/Prüfungsleistung: Vorlesung Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Title
Titel
Lecture: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Vorlesung: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Sub-title
Untertitel
L: MDP & CAET
V: MDP & CAET Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Studien-/Prüfungsleistung: Übung Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Title
Titel
Exercise: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Übung: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Sub-title
Untertitel
E: MDP & CAET
Ü: MDP & CAET Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Practical Session Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Studien-/Prüfungsleistung: Praktikum Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Title
Titel
Practical Session: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools Praktikum: Machine Design Process and Practical Applications of Computer- Aided Engineering Tools
Sub-title
Untertitel
P: MDP & CAET
P: MDP & CAET Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
53
Module: Machine Tools
Module
Modulbezeichnung
Machine Tool
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
MT
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Lecturer
Dozenten
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Machine Tools
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) know the most important types of production machinery, and understand their properties and their most relevant parameters as well as the general context
Abilities / Skills:
a) able to determine and calculate the corresponding mechanical and electrical properties;
b) apply this knowledge and able to transfer calculation procedures to related topics
Content
Inhalt
Machine Tools
• L1: An introduction to the machine tool design and machine tools for forming
• E1: Metal-forming machines
54
• L2: Metal-cutting machines with geometrically defined and undefined cutting edges
• E2: Tour around the shop floor of WZL and IPT
• L3: Design of mounts and mount components with respect to the static behavior
• E3: Design of structural components and software tools for the design of machine tools
• L4: Finite-Element-Analysis, Multi- Body- Simulation, Machine Foundations
• E4: Finite-Element-Analysis
• L5: Hydrodynamic, hydrostatic and aerostatic bearings and guidance systems
• E5: Calculation of hydrostatic sildeways
• L6: Linear guidance systems, ball screws, bearings, spindle bearing systems, seals and
covers
• E6: Guideways, Bearings, Spindle Bearing Systems, Ball Screws, Seals
• L7: Measuring instruments, geometric and kinematic behavior of machine tools
• E7: Geometrical, static and thermal characteristics of machine tools
• L8: Metrological investigation of the static and dynamic behavior of machine tools,acoustic
behavior of machine tools
• E8: Principles of Noise Measurement and Rating
• L9: Metrological analysis of the dynamic behavior of machine tools
• E9: Metrological analysis of the dynamic behavior of machine tools
• L10: Drives and inverters
• E10: Drives
• L11: Structure of Feed Drives, Mechanical Components of Feed Drives, Position
Measuring Systems and Control Systems
• E11: Layout of the mechanical components of feed drives
• L12: Programmable logic controllers, numerical controls, NC programming
• E12: Manual programming of machine tools
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Machine Tool
MSCAME 5 0 0 0 120
Lecturue (Vorlesung): Machine Tool
MSCAME 0 75 30 45
Exercise (Übung): Machine Tool
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Machine Tools Studien-/Prüfungsleistung: Prüfung Machine Tools Title
Titel
Examination Machine Tools
Prüfung Machine Tools Sub-title
Untertitel
Exa: MT
P: MT Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
55
Teaching Unit / Examinations: Lecture Machine Tools Studien-/Prüfungsleistung: Vorlesung Machine Tools
Title
Titel
Lecture: Machine Tools Vorlesung: Machine Tools
Sub-title
Untertitel
L: MT
V: MT Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Machine Tools Studien-/Prüfungsleistung: Übung Machine Tools
Title
Titel
Exercise: Machine Tools Übung: Machine Tools
Sub-title
Untertitel
E: MT
Ü: MT Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
56
Module: Manufacturing Technology I
Module
Modulbezeichnung Manufacturing Technology I
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MT I
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 1
Person in Charge
Modulverantwortliche Klocke, Fritz
Lecturer
Dozenten Klocke, Fritz
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 60h, Self-study 90h Gesamt 150h, Kontaktzeit 60h, Selbststudium 90h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Manufacturing Technology I
After successfully completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
Students
a) get an overview on manufacturing technologies. They know and understand the principles of cutting, forming, material removal and additive manufacturing.
b) know and understand process parameters, cutting and forming criteria, tool and workpiece characteristics.
Abilities / Skills:
Students
a) apply this knowledge and are able to choose the right manufacturing processes with regard to geometrical and functional workpiece properties.
b) are able to estimate the effects of process parameter variations on forces, tool life, wear mechanisms and rim zone characteristics.
Competences:
57
Students
a) critically analyse company decisions with technological background and communicate the assessments to non-specialist audiences.
optimize manufacturing processes and assess possible consequences on part functionality.
Content
Inhalt
Manufacturing Technology I
• Introduction to manufacturing technology
• Measuring and testing in manufacturing technology
• Principles of machining with geometrically defined cutting edges
• Cutting criteria
• Cutting materials, tools and lubricants
• Applications of processes with defined cutting edge
• Principles of cutting with undefined cutting edges
• Grinding tools and grinding wheel preparation
• Applications of processes with undefined cutting edge
• Material removal manufacturing processes (EDM, ECM)
• Laser and high pressure water jet machining
• Additive manufacturing (RP, RT)
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Manufacturing Technology I
MSCAME 5 0 0 0 90
Lecturue (Vorlesung): Manufacturing Technology I
MSCAME 0 75 30 45 0
Exercise (Übung): Manufacturing Technology I
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Examination Manufacturing Technology I Studien-/Prüfungsleistung: Prüfung Manufacturing Technology I
Title
Titel Examination Manufacturing Technology I Prüfung Manufacturing Technology I
Sub-title
Untertitel Exa MT I P MT I
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Manufacturing Technology I Studien-/Prüfungsleistung: Vorlesung Manufacturing Technology I
Title
Titel Lecture Manufacturing Technology I Vorlesung Manufacturing Technology I
Sub-title
Untertitel L MT I V MT I
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
58
Teaching Unit / Examinations: Exercise Manufacturing Technology I Studien-/Prüfungsleistung: Übung Manufacturing Technology I
Title
Titel Exercise Manufacturing Technology I Übung Manufacturing Technology I
Sub-title
Untertitel E MT I Ü MT I
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
59
Module: Manufacturing Technology II
Module
Modulbezeichnung Manufacturing Technology II
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MT II
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 2
Person in Charge
Modulverantwortliche Klocke, Fritz
Lecturer
Dozenten Klocke, Fritz
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 60h, Self-study 90h Gesamt 150h, Kontaktzeit 60h, Selbststudium 90h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-None-
Learning Objectives
Angestrebte Lernergebnisse
Manufacturing Technology II
After successfully completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
Students
c) get a deeper understanding in technologically comprehensive topics like material science and tribology.
d) know and understand the mechanisms to improve the performance of powder metallurgical, cutting, forming and hybrid processes.
Abilities / Skills:
Students
c) apply this knowledge and are able to assess manufacturing processes with regard to near surface damages and functional surfaces.
d) are able to evaluate processes by calculation of key figures for productivity, profitability and reliability.
Competences:
Students
60
b) critically analyze company decisions with technological background and communicate the assessments to non-specialist audiences.
are familiar with the latest trends in seminal branches like optical components, mobility and toolmaking.
Content
Inhalt
Manufacturing Technology II
• Metal-based Materials
• Tool Materials
• Powder Metallurgy
• Tribology
• Near Surface Damages and Functional Surfaces
• High-Speed Machining
• Bulk and Sheet Metal Forming
• Computer-aided Technology Planning
• Hybrid Manufacturing Methods
• Productivity and Profitability
• Manufacturing of Optical Components
• Manufacturing of Components for Mobility
• Manufacturing Methods for Toolmaking
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Manufacturing Technology II
MSCAME 5 0 0 0 90
Lecture (Vorlesung): Manufacturing Technology II
MSCAME 0 75 30 45 0
Exercise (Übung): Manufacturing Technology II
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Examination Manufacturing Technology II Studien-/Prüfungsleistung: Prüfung Manufacturing Technology II
Title
Titel Examination Manufacturing Technology II Prüfung Manufacturing Technology II
Sub-title
Untertitel Exa MT II P MT II
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Manufacturing Technology II Studien-/Prüfungsleistung: Vorlesung Manufacturing Technology II
Title
Titel Lecture Manufacturing Technology II Vorlesung Manufacturing Technology II
Sub-title
Untertitel V MT II V MT II
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
61
Teaching Unit / Examinations: Exercise Manufacturing Technology II Studien-/Prüfungsleistung: Übung Manufacturing Technology II
Title
Titel Exercise Manufacturing Technology II Übung Manufacturing Technology II
Sub-title
Untertitel E MT II Ü MT II
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester) Semestervariable Wahlleistung
62
Module: Master Thesis
Module
Modulbezeichnung
Master Thesis
Master Thesis
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MaThe
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 4
Person in Charge
Modulverantwortliche RWTH Aachen
Lecturer
Dozenten RWTH Aachen
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Supervision and assistance by the relevant professor
Betreuung durch den entsprechenden Professor
Workload
Arbeitsaufwand
4 Month
4 Monate
Lecture hours / Lecture Hours
Kontaktzeit (SWS)
ECTS-Credit Points (CP)
Kreditpunkte 20
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
The topic of the Master's thesis cannot be assigned until 92 CPs have been achieved. Reasonable exceptions are governed by the Board of Examiners upon request by the candidate.
Learning Objectives
Angestrebte Lernergebnisse
Master Thesis
The students command general techniques for scientific work and have learnt in the modules
how to independently approach and structure a topic applying scientific methods within a
defined timeframe.
The students are able to demonstrate problem solving competencies; following completion of
the thesis they are able to independently analyse problems using scientific methods and
prepare structured solutions to critically address the problems and develop new solution
methods. The students have the ability to present and communicate the scientific content in
the form of a presentation with subsequent discussion
Content
Inhalt
Master Thesis
The Master thesis is a written work which demonstrates that the students are capable of
independently addressing a problem within a defined timeframe using scientific methods.
Solving and development of a specific scientific research question or practice relevant
problem using desk-top research methods (secondary research). The acquisition of
63
information from existing sources of data which was originally generated for other purposes.
These data can be researched for the preparation of the Master thesis and suitably applied
and reported to solve the problem being addressed.
Media
Medienform -
Literature
Literatur According to the relevant research questions of the Master´s Thesis
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Master Thesis
(Masterarbeit) MSCAME
20
0 0 0 0
Master´s Thesis defense
colloquium
(Masterarbeitskolloquium) MSCAME 0 0 0 30
Teaching Unit / Examinations: Examination Master Thesis
Studien-/Prüfungsleistung: Prüfung Masterarbeit
Title
Titel
Master Thesis
Masterarbeit
Sub-title
Untertitel
Exa MaThe
P MaThe
Semester
Studiensemester 4
Teaching Unit / Examinations: Master´s Thesis Defense Colloquium Studien-/Prüfungsleistung: Masterarbeitskolloquium
Title
Titel
Master´s Thesis Defense Colloquium
Masterarbeitskolloquium
Sub-title
Untertitel
MaThe DC
MaThe DC
Semester
Studiensemester 4
64
Module: Mechanics of Engineering Materials
Module
Modulbezeichnung Mechanics of Engineering Materials
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MEM
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 2
Person in Charge
Modulverantwortliche Dr.-Ing. Jaan-Willem Simon
Lecturer
Dozenten Dr.-Ing. Jaan-Willem Simon
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 45h, Self-study 105h Gesamt 150 h, Kontaktzeit 45h, Selbststudium 105h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 3
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Mechanics of Engineering Materials
After successfully completing this course, the students will have acquired the following
learning outcomes:
Knowledge / Understanding
Students
a) know the different phenomena which can be observed in experiments;
b) know the different material models which have been proposed to describe these phenomena;
c) understand the basic concept of how to achieve an appropriate material model.
Abilities / Skills
Students
a) analyse analytical and numerical results with respect to the quality of the adopted model;
b) transfer theoreticaö models to actual engineering problems from the fields of mechanical, civil, and aeronautical engineering;
c) predict the material response to a given loading scenario.
65
Abilities / Skills
Students
a) critically assess the applicability and correctness of material models.
Content
Inhalt
Mechanics of Engineering Materials
The course aims at the understanding of the behaviour of engineering materials such as metals, plastics, and carbon fiber-reinforced composites. The major objective is the development and discussion of appropriate material models for elastic and inelastic materials. Further, the numerical treatment of these models will be addressed in the context of the finite element method. Finally, the according parameters will be identified by comparison with experiments.
In particular, the following aspects will be addressed:
Elasticity at small and finite strains
Thermo-elasticity
Anisotropic elasticity for composites
Viscoelasticity – Creep an relaxation
Plasticity and hardening
Damage and crack initiation
Parameter identification
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Mechanics of Engineering Materials
MSCAME 5 0 0 0 Oral: 30 Written: 90
Lecture (Vorlesung): Mechanics of Engineering Materials
MSCAME 0 75 30 45 0
Exercise (Übung): Mechanics of Engineering Materials
MSCAME 0 75 15 60 0
Teaching Unit / Examinations: Examination Mechanics of Engineering Materials Studien-/Prüfungsleistung: Prüfung Mechanics of Engineering Materials
Title
Titel
Examination Mechanics of Engineering Materials
Prüfung Mechanics of Engineering Materials
Sub-title
Untertitel
Exa: MEM
P: MEM
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Mechanics of Engineering Materials Studien-/Prüfungsleistung: Vorlesung Mechanics of Engineering Materials
66
Title
Titel
Lecture Mechanics of Engineering Materials
Vorlesung Mechanics of Engineering Materials
Sub-title
Untertitel
L: MEM
V: MEM
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Mechanics of Engineering Materials Studien-/Prüfungsleistung: Übung Mechanics of Engineering Materials
Title
Titel
Exercise Mechanics of Engineering Materials
Übung Mechanics of Engineering Materials
Sub-title
Untertitel
E: MEM
Ü: MEM
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
67
Module: Mechatronics and Control Techniques for Production Plants
Module
Modulbezeichnung Mechatronics and Control Techniques for Production Plants
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MCP
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 1
Person in Charge
Modulverantwortliche Brecher, Christian
Lecturer
Dozenten Brecher, Christian
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 60h, Self-study 90h Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Recommended: Machine Tools
Learning Objectives
Angestrebte Lernergebnisse
Mechatronics and Control Techniques for Production Plants
Students get familiar with the structure, the design and the engineering process of
mechatronic systems.
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
d) understand the characteristics of the behavior and control of feed axes in machine tools;
e) know different types of sensors and their application within machine tools
Abilities / Skills:
b) apply this knowledge to create control programs in different programming tools
c) get to know the essential features and applications of logical, numerical and motion controls of machines
Content
68
Inhalt Mechatronics and Control Techniques for Production Plants
Introduction to Mechatronics and control for production
- Overview of mechatronic systems
- Construction of feed drives
Information processing in mechatronic systems
- Theory and examples of embedded systems
- Programmable logic circuits
Measurement systems and sensors
- Position and angle measuring systems
- Acceleration and vibration measurement
Mechanical control
- Single and multi-spindle turning machines
- Further developments
Gripping technology
- Gripping principles
- Sensor technology and applications
Position control of feed drives
- Control concept of a machine axis
- Accuracy and synchronous control of multi-axis
Numerical Control 1: structure, programming, CAM
- Construction of NC controls
- NC programming process
Numerical Control 2: Interpolation
- Kinematic transformations and compensations
- Interpolation
Industrial robots and handling systems, robot control
- Structure and kinematic transformations
- RC programming
Programmable Logic Control (PLC) and motion control (MC)
- Fundaments of information Processing
- Programmable Controllers
Signal processing, process and condition monitoring
- Tasks of process and condition monitoring
- Use of sensors and signal processing
Mechatronic Engineering, Simulation environments for virtual commissioning
- Essentials of modeling of mechatronic systems
- Behavior modeling and data management
- Introduction: complexity of software and systems
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Mechatronics and Control
MSCAME 5 0 0 0 120
69
Techniques for Production Plants
Lecture (Vorlesung): Mechatronics and Control Techniques for Production Plants
MSCAME 0 75 30 45 0
Exercise (Übung): Mechatronics and Control Techniques for Production Plants
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Examination Mechatronics and Control Techniques for Production Plants Studien-/Prüfungsleistung: Prüfung Mechatronics and Control Techniques for Production Plants Title
Titel
Examination Mechatronics and Control Techniques for Production Plants
Prüfung Mechatronics and Control Techniques for Production Plants
Sub-title
Untertitel
Exa: MCP
P: MCP
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Mechatronics and Control Techniques for Production Plants Studien-/Prüfungsleistung: Vorlesung Mechatronics and Control Techniques for Production Plants
Title
Titel
Lecture Mechatronics and Control Techniques for Production Plants
Vorlesung Mechatronics and Control Techniques for Production Plants
Sub-title
Untertitel
L: MCP
V: MCP
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Examination Mechatronics and Control Techniques for Production Plants Studien-/Prüfungsleistung: Prüfung Mechatronics and Control Techniques for Production Plants Title
Titel
Exercise Mechatronics and Control Techniques for Production Plants
Übung Mechatronics and Control Techniques for Production Plants
Sub-title
Untertitel
E: MCP
Ü: MCP
Semester
Studiensemester 1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
70
Module: Micro- and Macrosimulation of Casting Processes
Module
Modulbezeichnung
Micro- and Macrosimulation of Casting Processes
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
MMCP
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Bührig-Polaczek, Andreas
Lecturer
Dozenten
Bührig-Polaczek, Andreas
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 120h, Lecture Hours 45h, Self-study 75h
Gesamt 120 h, Kontaktzeit 45 h, Selbststudium 75 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
4
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Micro- and Macrosimulation of Casting Processes
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) Thermal and thermomechanical simulation of casting processes,
b) Casting processes (investment, chill, high pressure die, gravity, …)
c) Numerical methods for latent heat release during solidification, for radiation
exchange
d) phase field approach to predict microstructure formation
e) how to handle free surface in mold filling
f) the high temperature behavior of materials, mainly the unknown mushy state
Abilities / Skills:
a) to select of an appropriate numerical scheme for the simulation of solidification
processes (thermal, thermomechanical and mould filling analysis)
71
b) to specify the correct boundary conditions for a thermal and/or mechanical
analysis of a casting process, f.ex. choose the appropriate radiation B.C: either
free surface radiation or with view factors
c) to analyse the results (cooling curve, stress-strain evolution) of the macro-
simulation of the considered casting process
d) to set-up a transient nonlinear thermomechanical analysis with mould/metal
interaction
e) to understand the evolution of different microstructures during cooling processes
Competencies:
a) For a specific casting process, identification of the most relevant transport
phenomena to be modelled
b) Modification of a thermal and/or thermo-mechanical analysis model for another
casting process.
c) Basic knowledge about different dendritic growth morphologies occurring during
solidification and modelled via the phase-field approach.
Content
Inhalt
Micro- and Macrosimulation of Casting Processes
General overview
transport phenomena in solidification processes
conservation equations for a solid-liquid mixture
discretization of the transport phenomena
FV and FE methods, hybrid FE-CV method,
upwind schemes
Transient thermal simulation of casting processes
Modelling of phase changes
3-D net radiation method
industrial applications
Process optimization and calibration
definition of an optimization problem: objective function, constraints
application: optimization of the Brigdman investment casting process of turbine
blades
calibration of the mould/cast heat transfer coefficient
Thermomechanical analysis (I)
nonlinear material models (elastoplasticity, viscoplasticity)
finite element discretization
modelling of the coherent mushy zone
Thermomechanical analysis(II)
heat transfer model function of gap or contact
master/slave contact algorithm
industrial applications
Mould filling simulation
Equations and fluid flow properties
surface capturing/tracking methods (e.g. VOF)
industrial applications
Introduction to microsimulation
phenomena of microstructure evolution
thermodynamic calculation of phase diagrams
kinetics of nucleation
cellular automaton versus phase field method
Phase field theory (I)
thermodynamical background
motion driven by mean curvature
Phase field theory (II): thermal dendrites
moving free boundary problem
dendritic growth modes (Ivantsov solution)
coupling to temperature
72
industrial applications
Phase field theory (III)
coupling to solute diffusion
coupling to fluid flow
multicomponent phase field model
Macrosimulation tutorial with CASTS
sand casting of steel lever
Bridgman casting of a cluster of three single-crystal turbine blades
Microsimulation tutorial with MICRESS
eutectic solidification
equiaxed dendritic solidification
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Micro- and Macrosimulation of Casting Processes
MSCAME 4 0 0 0 120
Lecturue (Vorlesung): Micro- and Macrosimulation of Casting Processes
MSCAME 0 75 30 45
Exercise (Übung): Practical Micro- and Macrosimulation of Casting Processes
MSCAME 0 45 15 30
Teaching Unit / Examinations: Examination Micro- and Macrosimulation of Casting Processes Studien-/Prüfungsleistung: Prüfung Micro- and Macrosimulation of Casting Processes Title
Titel
Examination Micro- and Macrosimulation of Casting Processes
Prüfung Micro- and Macrosimulation of Casting Processes Sub-title
Untertitel
Exa: MMCP
P: MMCP Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Micro- and Macrosimulation of Casting Processes Studien-/Prüfungsleistung: Vorlesung Micro- and Macrosimulation of Casting Processes
Title
Titel
Lecture: Micro- and Macrosimulation of Casting Processes Vorlesung: Micro- and Macrosimulation of Casting Processes
Sub-title
Untertitel
L: MMCP
V: MMCP Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Micro- and Macrosimulation of Casting Processes Studien-/Prüfungsleistung: Übung Micro- and Macrosimulation of Casting Processes
73
Title
Titel
Exercise: Micro- and Macrosimulation of Casting Processes Übung: Micro- and Macrosimulation of Casting Processes
Sub-title
Untertitel
E: MMCP
Ü: MMCP Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
74
Module: Mini Thesis
Module
Modulbezeichnung
Mini Thesis
Mini Thesis
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel Mini Thesis
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 3
Person in Charge
Modulverantwortliche RWTH Aachen
Lecturer
Dozenten RWTH Aachen
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Supervision and assistance by the relevant professor
Betreuung durch den entsprechenden Professor
Workload
Arbeitsaufwand
Total 260h
Gesamt 260h
Lecture hours / Lecture Hours
Kontaktzeit (h)
ECTS-Credit Points (CP)
Kreditpunkte 9
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Mini Thesis
Subject-specific competences:
Students will learn to solve a specific problem in the field of mechanical engineering under
time constraints. Students will apply theoretical and methodological knowledge to complete
the project successfully. They will also be able to document their project according to
scientific standards. Students will have gained problem-solving skills and competences in
applying theoretical knowledge to practice.
Non-subject-specific competences:
Project management
Time management.
Content
Inhalt
Mini Thesis
Project management
Time planning
75
Evaluation of results
Media
Medienform -
Literature
Literatur According to the relevant research questions of the Mini Thesis
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Mini Thesis
Mini Thesis MSCAME 9 260 0 0 0
Teaching Unit / Examinations: Examination Master Thesis
Studien-/Prüfungsleistung: Prüfung Masterarbeit
Title
Titel
Mini Thesis
Mini Thesis
Sub-title
Untertitel
Mini Thesis
Mini Thesis
Semester
Studiensemester 3
Curriculare Verankerung Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
76
Module: Modeling, Model Reduction and Simulation in Laser Processing - Lase
Module
Modulbezeichnung
Modeling, Model Reduction and Simulation in Laser Processing - Laser
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
MMRSLP I
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Schulz, Wolfgang
Lecturer
Dozenten
Schulz, Wolfgang
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Modeling, Model Reduction and Simulation in Laser Processing - Laser
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) experimental evidence of Maxwell equations
b) refraction, diffraction and scattering, Fresnel- number Nf, and applications
c) can perform the derivation of SVE-approximation
d) Laser light, can perform the calculation imaging and focussing
e) know at least 3 types of laser systems, temporal and spatial distribution of laser
radiation, Fresnel-number, invariant quantity of light propagation
f) understand the structure of solution for the Helmholtz-equation, diffraction, 5
parameter pairs of optical material equations, transmission, reflection, absorption,
Fresnel Formulae, polarisation of matter and radiation
g) know the main properties of the solution in the asymptotic case of paraxial light
propagation and can explain the relation between optical and material parameters
77
h) know the effect of coupling between atoms and can explain the relation between
band structure and optical properties
i) understand the interactive cooperation of scientists from engineering, physics and
mathematics for application of model based methods for diagnosis in laser
processing
Abilities / Skills:
a) Application of model based methods for solving practical tasks of laser design from
discussion of project examples
Content
Inhalt
Modeling, Model Reduction and Simulation in Laser Processing - Laser
Overview of contents, definition of the 10 learning targets
the contribution of the engineer to the interactive cooperation of scientific disciplines
main features of the theory of cognition (Karl Popper)
Light:
amplitude and phase, Fermat’s principle, laser radiation, Helmholtz equation,
diffraction, Fresnel- number Nf,, reduced model: SVE-approximation
Learning target 1: experimental origin of Maxwell equations, Rayleigh scattering,
Laser Principle
Learning target 2: ABCD-matrix, ABCD-law
Learning target 3:
beam parameter product, optical invariant
Matter:
emission spectra, band structure, reflection, transmission and absorption of light,
Learning target 4: isolator, semiconductor, metal, gas
Learning target 5: Rydberg constant, Planck’s law
Learning target 6: reduced model of the Fresnel Formulae for the limiting case of
small discplacement current, optical parameters
Gaussian Beam:
beam quality, beam guiding and forming
Learning target 7: quality features of light, Plane-, spherical- and Gouy-phase
Quality number K and focussing F-number
Resonator:
frequency filter, axial mode structure
Learning target 8: feedback-axial mode structure, g-parameter, aperture-lateral mode,
Fresnel number Nf, rod and tube design
Active Medium:
entropy, phase transition of 2. Kind, Einstein rate equations
Learning target 9: Gas and Solid-state and Diode Laser
Learning target 10: laser threshold, cooling, pumping
Modulation:
Gain switch µs, Q-Switch ns, Mode locking fs
Learning target 11: phase coupling
concluding discussion of the learning targets
actual research and development of laser processing
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Modeling, Model Reduction and Simulation in Laser Processing - Laser
MSCAME 5 0 0 0 120
78
Modeling, Model Reduction and Simulation in Laser Processing - Laser
MSCAME 0 75 30 45
Modeling, Model Reduction and Simulation in Laser Processing - Laser
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Modeling, Model Reduction and Simulation in Laser Processing - Laser Studien-/Prüfungsleistung: Prüfung Modeling, Model Reduction and Simulation in Laser Processing - Laser Title
Titel
Examination Modeling, Model Reduction and Simulation in Laser Processing - Laser
Prüfung Modeling, Model Reduction and Simulation in Laser Processing - Laser Sub-title
Untertitel
Exa: MMRSLP I
P: MMRSLP I Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser Processing - Laser Studien-/Prüfungsleistung: Vorlesung Modeling, Model Reduction and Simulation in Laser Processing - Laser
Title
Titel
Lecture: Modeling, Model Reduction and Simulation in Laser Processing - Laser Vorlesung: Modeling, Model Reduction and Simulation in Laser Processing - Laser
Sub-title
Untertitel
L: MMRSLP I
V: MMRSLP I Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser Processing - Laser Studien-/Prüfungsleistung: Übung Modeling, Model Reduction and Simulation in Laser Processing - Laser
Title
Titel
Exercise: Modeling, Model Reduction and Simulation in Laser Processing - Laser Übung: Modeling, Model Reduction and Simulation in Laser Processing - Laser
Sub-title
Untertitel
E: MMRSLP I
Ü: MMRSLP I Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
79
Module: Modeling, Model Reduction and Simulation in Laser Processing -
Applications
Module
Modulbezeichnung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MMRSLP II
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 3
Person in Charge
Modulverantwortliche Schulz, Wolfgang
Lecturer
Dozenten Schulz, Wolfgang
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective module
Semestervariable Wahlpflichtleistung
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand
Total 150h, Contact hours 60h, Self-study 90h
Gesamt 150h, Kontaktzeit 60h, Selbststudium 90h
Lecture hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Modeling, Model Reduction and Simulation in Laser Processing - Applications
After successfully completing this course, the student will have acquired the following learning
outcomes:
Knowledge / Understanding:
a) Free Boundary Problems and integral methods of solution,
b) non-linear stability analysis using spectral methods,
c) analysis of the structural stability of model equations and
d) 5 parameter pairs of optical material equations, transmission, reflection, absorption,
Fresnel Formulae, polarisation of matter and radiation
Learning target 2: optical parameters
e) Slow surfaces in dynamical Systems: applications
for separation of time scales
Learning target 6: Thermal effect of large and small Peclet-number,
80
f) know and understand the 5 different, dominant phenomena of drilling, welding and cutting
with laser radiation
Learning target 5: quality features
g) know the physical meaning of the terms contained in the Navier-Stokes equations for
mass, momentum, and energy balance
h) know the main properties of the solution in the asymptotic case of thin film flow (boundary
layer) and can explain the relation between dynamical properties of the solution and quality
features of the product as well as productivity of the process for drilling and cutting
i) know the effect of dissipation in distributed dynamical systems (inertial manifold) and know
examples for the application of methods for the reduction of the dimension in dissipative
systems, understand and perform the separation of length and time scales in simple systems
Learning target 7: heating and melting phase of ablation
j) understand the interactive cooperation of scientists from engineering, physics and
mathematics for application of model based methods for diagnosis in laser processing
Leraning target 8: reduced modeling
Abilities / Skills:
a) Application of model based methods for solving practical tasks from discussion of project
examples
Content
Inhalt
Modeling, Model Reduction and Simulation in Laser Processing - Applications
Overview of contents, definition of the 10 learning targets
the contribution of the engineer to the interactive cooperation of scientific disciplines
main features of the theory of cognition (Karl Popper)
recapitulation of the 10 learning targets from Module I: Laser
Learning target 1: at least 10 industrial applications of laser radiation
Learning target 2: reduced model of the Fresnel Formulae for the limiting case of
small displacement current, optical parameters
technical task and examples:
cutting with laser radiation
Learning target 3: quality features of the high quality cut
physical task of cutting and identification of quality defined processing domains
Learning target 4: relation of physical phenomena to the built up of quality
degradations
technical task and examples:
drilling with laser radiation
physical task formulation and 5 dominant phenomena
Learning target 5: quality features of the drilled hole
mathematical modelling Ia: length and time scales
degrees of freedom in phase space of dependent variables
separation of time scales in simple dynamical systems
Learning target 6a: separation of time scales
mathematical modelling Ib: singular perturbation and asymptotic expansion
thermal boundary layer in heat conduction with moving boundaries
Learning target 6b: separation of length scales
mathematical modelling II:
Free Boundary Problems (FBP) for the solid phase
reduced model for the FBP :
motion of the melting front, integral methods, variational formulation
Learning target 7: heating and melting phase of ablation
mathematical modelling III: Meta-Modeling
Morse-Smale-Complex
Leraning target 8: reduced model of drilling and cutting
mathematical model reduction: melt flow
reduced model for thin film flow
81
Learning target 9: ripple and dross formation in cutting
model reduction and solution with controlled error:
melt flow at low Reynolds-number
structural stability of the reduced model:
lubrication approximation, fingering and droplet formation
global properties of the solution of balance equations for mass, momentum and
thermal energy – example: cutting
Learning target 10: scales for parameter estimation in laser processing
parameters in cutting and drilling
concluding discussion of the learning targets
actual research and development of laser processing
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Modeling, Model Reduction and Simulation in Laser Processing - Applications
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Modeling, Model Reduction and Simulation in Laser Processing - Applications
MSCAME 0 75 30 45
Exercise (Übung): Modeling, Model Reduction and Simulation in Laser Processing - Applications
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Modeling, Model Reduction and Simulation in Laser Processing - Applications
Studien-/Prüfungsleistung: Prüfung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Title
Titel
Examination Modeling, Model Reduction and Simulation in Laser Processing - Applications
Prüfung Modeling, Model Reduction and Simulation in Laser Processing – Applications
Sub-title
Untertitel MMRSLP II
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
Teaching Unit / Examinations: Lecture Modeling, Model Reduction and Simulation in Laser Processing - Applications
Studien-/Prüfungsleistung: Vorlesung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Title
Titel
Lecture Modeling, Model Reduction and Simulation in Laser Processing - Applications
Vorlesung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Sub-title
Untertitel V MMRSLP II
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
82
Teaching Unit / Examinations: Exercise Modeling, Model Reduction and Simulation in Laser Processing - Applications
Studien-/Prüfungsleistung: Übung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Title
Titel
Exercise Modeling, Model Reduction and Simulation in Laser Processing - Applications
Übung Modeling, Model Reduction and Simulation in Laser Processing - Applications
Sub-title
Untertitel Ü MMRSLP II
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
83
Module: Molecular Mechanics and Multi-scale Modelling
Module
Modulbezeichnung Molecular Mechanics and Multi-scale Modelling
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MMMM
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 3
Person in Charge
Modulverantwortliche Univ.-Prof. Dr.-Ing. Bernd Markert
Lecturer
Dozenten Dr.-Ing. Sandeep P. Patil
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective module
Semestervariable Wahlpflichtleistung
Teaching form
Lehrformen Oral Examination, Lecture, Exercise Mündliche Prüfung, Vorlesung, Übung
Workload
Arbeitsaufwand
Total 150h, Contact hours 60h, Self-study 90h
Gesamt 150h, Kontaktzeit 60h, Selbststudium 90h
Lecture hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Molecular Mechanics and Multi-scale Modelling
The need for multi-scale modelling comes usually from the fact that the available macro-scale models are not accurate enough, and the micro-scale models are not efficient enough and/or offer too much information. By combining both viewpoints, one hopes to arrive at a reasonable compromise between accuracy and efficiency. Multi-scale models allow us to formulate models that couple together models at different scales.
Overall goal: Students are able to bridge the wide range of time and length scales of methods that are inherent in a number of essential phenomena and processes in materials science and engineering.
After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding
Students:
a) understand the theoretical background of both methods, molecular dynamics and continuum mechanics;
b) compute mechanical properties at molecular level c) reproduce molecular behaviour at macroscopic level;
84
d) perform multi-scale modelling of hierarchical bio-materials.
Abilities / Skills
Students:
a) apply contents of the lecture to natural as well as artificial materials.
Content
Inhalt
Molecular Mechanics and Multi-scale Modelling
Lectures:
- Introduction to multi-scale modelling
- Molecular dynamics
- Theoretical background of molecular dynamics
- Force-probe molecular dynamics simulations
- Compute mechanical properties at molecular level
- Continuum mechanics
- Theoretical background of continuum mechanics
- Phase-field modelling
- Reproduce molecular mechanical properties
- Validations
- Multi-scale modelling
- Scale bridging
- Bottom-up approach
- Applications, e.g., spider silk, nacre
Exercises:
- Molecular dynamics simulations
- Force-probe molecular dynamics simulations
- Compute mechanical properties at molecular level, e.g., Young's modulus
- Finite element simulations based on force-probe molecular dynamics simulations
- Validations
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Molecular Mechanics and Multi-scale Modelling
MSCAME 5 0 0 0 30
Lecture (Vorlesung): Molecular Mechanics and Multi-scale Modelling
MSCAME 0 75 30 45
85
Exercise (Übung): Molecular Mechanics and Multi-scale Modelling
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Molecular Mechanics and Multi-scale Modelling
Studien-/Prüfungsleistung: Prüfung Molecular Mechanics and Multi-scale Modelling
Title
Titel
Examination Molecular Mechanics and Multi-scale Modelling
Prüfung Molecular Mechanics and Multi-scale Modelling
Sub-title
Untertitel MMMM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
Teaching Unit / Examinations: Lecture Molecular Mechanics and Multi-scale Modelling
Studien-/Prüfungsleistung: Vorlesung Molecular Mechanics and Multi-scale Modelling
Title
Titel
Lecture Molecular Mechanics and Multi-scale Modelling
Vorlesung Molecular Mechanics and Multi-scale Modelling
Sub-title
Untertitel MMMM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
Teaching Unit / Examinations: Exercise Molecular Mechanics and Multi-scale Modelling
Studien-/Prüfungsleistung: Übung Molecular Mechanics and Multi-scale Modelling
Title
Titel
Exercise Molecular Mechanics and Multi-scale Modelling
Übung Molecular Mechanics and Multi-scale Modelling
Sub-title
Untertitel Ü MMRSLP II
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module
Semestervariable Wahlpflichtleistung
86
Module: Multibody Dynamics
Module
Modulbezeichnung
Multibody Dynamics
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
MD
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Corves, Burkhard
Lecturer
Dozenten
Corves, Burkhard
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Multibody Dynamics
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) The students have a profound knowledge of theory of vibrations.
b) The students are capable of comprehending, describing and analyzing vibratory
systems.
c) The students are familiar with the most important matrix based procedures for the
calculation of eigenmotions and the behavior of linear systems under forced
excitations.
d) For the calculation of nonlinear system the students can select suitable program
systems and carry out proper simulations.
87
Abilities / Skills:
a) The students have the ability of describing mathematically any mechanical system
with its inherent physical effects like elasticity, damping and friction.
b) The students are able to properly interpret simulation results especially under
consideration of simplifications within the model compared to the real system.
Competencies:
a) The students are able to derive from their knowledge the necessary methods and
proceedings for the analysis and synthesis of the systems in regard. Thus they are
capable to solve - accessing their acquired theoretical knowledge - complex
problems concerning the choice and design of industrial vibratory systems.
Content
Inhalt
Multibody Dynamics
Introduction
Fundamentals
Fields of application
Model Building
Methods of Approach for Equivalent Models
Multi-body Systems
Determination of the Model Parameters
General mathematical description
Kinematics of Multi Body Systems
Position and Orientation of Bodies
Translational Kinematics
Rotational Kinematics
Equations of Motion
Lagrangian Equations of 2nd Kind
Newton-Euler equations
Linearisation
Eigen Value Approach
Undamped non-gyroscopic systems
Damped gyroscopic systems
Eigen Value Stability Criteria
Linear Systems with Harmonic Excitation
Real Frequency Matrix
Complex Frequency Matrix
State Equation
System Matrix
Eigen Value Approach
Fundamental Matrix
Modal Matrix
Theorem of Cayley-Hamilton
Analytical Solution
Numerical Solution
Step Excitation
Harmonic Excitation
Periodical Excitation
Introduction of Multi Body Simulation Software
ADAMS
SIMPACK
SimMechanics
88
Hands-On-Laboratory for Multi Body Simulation Software
ADAMS
SIMPACK
SimMechanics
Example
Modelling
Determination of Parameters
Calculation
Evaluation
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Multibody Dynamics
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Multibody Dynamics
MSCAME 0 75 30 45
Exercise (Übung): Multibody Dynamics
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Multibody Dynamics Studien-/Prüfungsleistung: Prüfung Multibody Dynamics Title
Titel
Examination Multibody Dynamics
Prüfung Multibody Dynamics Sub-title
Untertitel
Exa: MD
P: MD Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Multibody Dynamics Studien-/Prüfungsleistung: Vorlesung Multibody Dynamics
Title
Titel
Lecture: Multibody Dynamics Vorlesung: Multibody Dynamics
Sub-title
Untertitel
L: MD
V: MD Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Multibody Dynamics
Studien-/Prüfungsleistung: Übung Multibody Dynamics
Title
Titel
Exercise: Multibody Dynamics Übung: Multibody Dynamics
Sub-title E: MD
Ü: MD
89
Untertitel
Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
90
Module: Nonlinear Structural Mechanics
Module
Modulbezeichnung
Nonlinear Structural Mechanics
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
NSM
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Schmidt, Rüdiger
Lecturer
Dozenten
Weichert, Dieter; Schmidt, Rüdiger; Stoffel, Marcus
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul Maschinenbau
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Nonlinear Structural Mechanics
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) The students know the important steps and features of consistent modeling of 2-D
and 1-D structures for linear and nonlinear static and dynamic analysis.
b) They know the criteria how to assess structural theories (e.g. in commercial FE-
codes, in scientific publications etc.), to classify them, and to estimate the
consequences of underlying hypotheses for the quality of obtainable simulation
results.
Abilities / Skills:
a) The students are able to analyse static and dynamic simulation results with
respect to the quality of the adopted structural model.
91
b) The students can transfer theoretical models to actual engineering problems of
statically or dynamically loaded beam, plate and shell structures (e.g. arbitrary
geometries, arbitrary boundary conditions, arbitrary material and ply lay-up).
Competencies:.
a) The students are able to critically assess the applicability, consistency and
correctness of structural models.
b) The students are able to use their obtained knowledge in order to develop new
theoretical models in the sense of a generalization.
Content
Inhalt
Nonlinear Structural Mechanics
Introduction and motivation:
Brief review of FE discretisation (solid vs. shell elements)
Brief review of linear statics and dynamics of structures
Structural nonlinearity: stress stiffening/softening, buckling, effect on nonlinear
vibrations
Review of classical kinematical hypotheses (Bernoulli / Kirchhoff-Love),
shortcomings, necessity of refined hypotheses
Index notation, Einstein summation convention
Kronecker symbol and associated rules
Scalar and vector product, matrix multiplication in index notation
Convected coordinates, parameter lines for a 3-D body
Co- and contravariant base vectors
Examples: cylindrical and spherical geometry
Co- and contravaiant metric tensor components
Co- and contravariant vector and tensor components
Vector product of base vectors, permutation tensor, metric tensor determinant
Surface parameter lines
Co- and contravariant surface base vectors, normal vector
Surface metric and permutation tensor
Equations of Gauss and Weingarten
Christoffel symbols
Curvature tensor of a surface
Geometrical considerations (length, area and volume elements) in the shell space,
at the reference surface, at the bounding surfaces, and at the lateral boundary
Deformed configuration
Base vectors of the deformed configuration
Covariant derivative
Shifter tensor, mean and Gaussian curvature
Principle of virtual displacements
Internal and external virtual work
Definition of stresses and strains
Strain tensor for von Kármán-type nonlinearity
Strain-displacement relations for tangential, transverse shear and transverse
normal strains
First-order shear deformation hypothesis
Interpretation of the kinematical variables, rotations at the reference surface
Outlook: Refined hypotheses
Nonlinear strain-displacement relations for first-order shear deformation (Reissner-
Mindlin) plate and shell theory
Transition to Kirchhoff-Love plate and shell theory / Bernoulli beam theory
Internal virtual work
Internal stress resultants
Theorem of Gauss
External virtual work (surface tractions, body forces, inertia forces)
Surface load couples, boundary load couples
Body couples, inertia couples
Nonlinear equilibrium equations
92
Static boundary conditions
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Nonlinear Structural Mechanics
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Nonlinear Structural Mechanics
MSCAME 0 75 30 45
Exercise (Übung): Nonlinear Structural Mechanics
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Nonlinear Structural Mechanics Studien-/Prüfungsleistung: Prüfung Nonlinear Structural Mechanics Title
Titel
Examination Nonlinear Structural Mechanics
Prüfung Nonlinear Structural Mechanics Sub-title
Untertitel
Exa: NSM
P: NSM Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Nonlinear Structural Mechanics Studien-/Prüfungsleistung: Vorlesung Nonlinear Structural Mechanics
Title
Titel Lecture: Nonlinear Structural Mechanics Vorlesung: Nonlinear Structural Mechanics
Sub-title
Untertitel
L: NSM
V: NSM Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Nonlinear Structural Mechanics Studien-/Prüfungsleistung: Übung Nonlinear Structural Mechanics
Title
Titel Exercise: Nonlinear Structural Mechanics Übung: Nonlinear Structural Mechanics
Sub-title
Untertitel
E: NSM
Ü: NSM Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
93
Module: Numerical Methods in Mechanical Engineering
Module
Modulbezeichnung
Numerical Methods in Mechanical Engineering
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME-1005/12
Subtitle
Untertitel
NMME
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Weichert, Dieter Ban, Michael
Lecturer
Dozenten
Ban, Michael
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 210h, Lecture Hours 75h, Self-study135h
Gesamt 210 h, Kontaktzeit 75 h, Selbststudium 135 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
5
ECTS-Credit Points (CP)
Kreditpunkte
7
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Numerical Methods in Mechanical Engineering
This course presents the theoretical background of the numerical methods commonly used in
mechanical engineering. In particular, the path from the physical formulation of a problem to
its mathematical formulation which is appropriate for large-scale numerical approximation
methods is shown.
After successfully completing this course, the students will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) Knowledge of theoretical foundations of current numerical methods in engineering.
b) Knowledge to bridge between the physical formulation of a problem and a
mathematical formulation suited to numerical approximation methods.
c) Comprehending the individual steps and specific transformations required for
approximate numerical solution.
d) Choosing an appropriate approximation technique and analyzing the results
obtained by various approximation methods.
e) Applying acquired knowledge to develop new approximation methods.
94
f) Critical reflection on the consistency and correctness of numerical methods.
Abilities / Skills:
a) Applying variational methods to obtain equivalent formulations of a problem of
differential equations.
b) Constructing basis functions compatible with the boundary conditions.
c) Constructing and applying a variety of approximation methods based on the WRM
(collocation by points, collocation by subdomains, Galerkin's method, least
squares method, Ritz method)
d) Solving constrained optimization problems by using the Lagrange Multipliers
Method.
e) Constructing the associated energy potential and applying the stationarity principle
for a conservative mechanical problem.
f) Applying tools of numerical integration.
Content
Inhalt
Numerical Methods in Mechanical Engineering
From intuitional perception to the mathematical formulation of engineering
problems; examples. Choice of assumptions and mathematical tools to formulate
problems.
Classes of solution methods (overview):
Analytical solutions, approximate solutions, direct approximation, approximate
solution after transformation of the problem.
Classes of physical problems: discrete systems, continuous systems. Equilibrium,
eigenvalue, and propagation problems.
Integral forms.
Weak formulation of problems.
The Method of Weighted Residuals (WRM).
Introduction to variational calculus.
Functionals and Functionals associated with an integral form.
The stationarity principle and stationarity conditions.
Examples from mechanics.
The method of Lagrange multipliers. Mixed and complementary formulations.
Catalogue of functionals used in continuum mechanics and their specific features.
Discretisation of integral forms. Collocation by points. Collocation by subdomains.
Galerkin’s method. Least Squares Method. Examples:
Ritz' method. Examples.
Numerical integration. Newton-Cotes method.
Gauss method. Examples.
The Finite Element Method. Shape functions, construction of finite elements.
Matrix representation in the FEM. Stiffness matrix. Boundary conditions.
Examples from structural engineering. Software packages in engineering.
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Numerical Methods in Mechanical Engineering
MSCAME 7 0 0 0 150
95
Lecture (Vorlesung): Numerical Methods in Mechanical Engineering
MSCAME 0 150 45 105
Exercise (Praktikum): Numerical Methods in Mechanical Engineering
MSCAME 0 60 30 30
Teaching Unit / Examinations: Examination Numerical Methods in Mechanical Engineering Studien-/Prüfungsleistung: Prüfung Numerical Methods in Mechanical Engineering Title
Titel
Examination Numerical Methods in Mechanical Engineering
Prüfung Numerical Methods in Mechanical Engineering Sub-title
Untertitel
Exa: NMME
P: NMME Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Numerical Methods in Mechanical Engineering Engineering Studien-/Prüfungsleistung: Vorlesung Numerical Methods in Mechanical Engineering
Title
Titel
Lecture: Numerical Methods in Mechanical Engineering Vorlesung: Numerical Methods in Mechanical Engineering
Sub-title
Untertitel
L: NMME
V: NMME Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Numerical Methods in Mechanical Engineering Studien-/Prüfungsleistung: Übung Numerical Methods in Mechanical Engineering
Title
Titel
Practical Session: Numerical Methods in Mechanical Engineering Praktikum: Numerical Methods in Mechanical Engineering
Sub-title
Untertitel
E: NMME
Ü: NMME Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
96
Module: Practical Introduction to FEM-Software I
Module
Modulbezeichnung
Practical Introduction to FEM-Software I
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
PIFEM I
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 90h, Lecture Hours 45h, Self-study 45h
Gesamt 90 h, Kontaktzeit 45 h, Selbststudium 45 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
3
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Practical Introduction to FEM-Software I
The aim of the course is to give an overview of the possibilities and an introduction to the use
of FEM software.
After successfully completing this course, the student will have acquired the following
learning outcomes:
The students will
Knowledge / Understanding:
a) have sufficient knowledge of ANSYS and CALCULIX
b) obtain a practical feeling how to deal with FE programs
c) understand the concept of solid modeling and automatic meshing
d) understand the commands to create input-files
e) know how to define boundary conditions and loads
97
Abilities / Skills:
f) be able to create 2D/3D FE models
g) be able to solve typical linear structural and heat transfer problems
h) be able to validate FE models and analyze errors
i) to write a project report
Content
Inhalt
Practical Introduction to FEM-Software I
General introduction, structure of the FEM program
ANSYS (GUI)
Modeling and calculation of truss structures with ANSYS.
Modeling beam structures
ANSYS commands, working with input files
Post processing for beam elements
General introduction to the FEM program CACULIX
Modeling and calculating beam structures with CALULIX
Data exchange between ANSYS <-> CALCULIX.
Introduction to 2D solid modeling in ANSYS (part 1)
Types of plane elements, free mesh, boundary conditions, mesh size, post
processing
Commands for 2D Problems in CALCULIX
Data exchange between ANSYS <-> CALCULIX
Boundary conditions, mesh size, post processing
Introduction to 2D solid modeling in ANSYS (part 2)
Mapped mesh, bottom up / top down approach
ANSYS commands, heat transfer problems
APDL, element types, boundary conditions, h- and p-method.
Post processing, error estimation.
ANSYS 3D modeling (part 1), creating the geometry, selecting and grouping
commands.
3D modeling (part 2), ANSYS and CALCULIX commands, 3D element types.
3D modeling (part 3), ANSYS and CALCULIX commands, extrusion of 2D Models.
Project work, modeling
Project work, modeling, solving, post processing
Project work, documentation, report
Revision course
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Practical Introduction to FEM-Software I
MSCAME 3 0 0 0 120
Lecture (Vorlesung): Practical Introduction to FEM-Software I
MSCAME 0 30 15 15
Practical Session (Praktikum): Practical Introduction to FEM-Software I
MSCAME 0 60 30 30
Teaching Unit / Examinations: Examination Practical Introduction to FEM-Software I Studien-/Prüfungsleistung: Prüfung Practical Introduction to FEM-Software I
98
Title
Titel
Examination Practical Introduction to FEM-Software I Prüfung Practical Introduction to FEM-Software I
Sub-title
Untertitel
Exa: PIFEM I
P: PIFEM I Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Practical Introduction to FEM-Software I Studien-/Prüfungsleistung: Vorlesung Practical Introduction to FEM-Software I Title
Titel
Lecture: Practical Introduction to FEM-Software I Vorlesung: Practical Introduction to FEM-Software I
Sub-title
Untertitel
L: PIFEM I
V: PIFEM I Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Practical Session Practical Introduction to FEM-Software I Studien-/Prüfungsleistung: Praktikum Practical Introduction to FEM-Software I
Title
Titel
Exercise: Practical Introduction to FEM-Software I Übung: Practical Introduction to FEM-Software I
Sub-title
Untertitel
E: PIFEM I
Ü: PIFEM I Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
99
Module: Practical Introduction to FEM-Software II
Module
Modulbezeichnung
Practical Introduction to FEM-Software II
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
PIFEM II
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 90h, Lecture Hours 45h, Self-study 45h
Gesamt 90 h, Kontaktzeit 45 h, Selbststudium 45 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
3
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Recommended: Practical Introduction to FEM-Software I
Learning Objectives
Angestrebte Lernergebnisse
Practical Introduction to FEM-Software II
In part II of the course the considered examples are extended to nonlinear problems and
applications.
After successfully completing this course, the student will have acquired the following
learning outcomes:
The students will
Knowledge / Understanding:
a) obtain an overview about various kinds of FE calculations.
b) get understanding of the difficulties concerned with nonlinear calculations.
Abilities / Skills:
a) be able to calculate nonlinear problems with ANSYS and CALCULIX.
Content
Inhalt
100
Practical Introduction to FEM-Software II
Time depending Problems, multi load steps, sub modeling.
Sub modeling
Non-linear Material, Plasticity
Non-linear Material, rubber-like materials, viscoelastic
Composite materials.
Solver for non-linear problems.
Contact problems part 1, coupling and constraint equations.
Contact problems part 2, CAD-Import.
Harmonic response
Modal analysis
Death and birth option, harmonic response.
Multiphysics problems 1, heat transfer, voltage.
Multiphysics problems 2, heat radiation.
Revision course
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Multibody Dynamics
MSCAME 3 0 0 0 120
Lecture (Vorlesung): Multibody Dynamics
MSCAME 0 30 15 15
Practical Session (Praktikum): Multibody Dynamics
MSCAME 0 60 30 30
Teaching Unit / Examinations: Examination Practical Introduction to FEM-Software II Studien-/Prüfungsleistung: Prüfung Practical Introduction to FEM-Software II Title
Titel
Examination Practical Introduction to FEM-Software II
Prüfung Practical Introduction to FEM-Software II Sub-title
Untertitel
Exa: PIFEM II
P: PIFEM II Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Practical Introduction to FEM-Software II Studien-/Prüfungsleistung: Vorlesung Practical Introduction to FEM-Software II Title
Titel
Lecture: Practical Introduction to FEM-Software II Vorlesung: Practical Introduction to FEM-Software II
Sub-title
Untertitel
L: PIFEM II
V: PIFEM II Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
101
Teaching Unit / Examinations: Practical Session Practical Introduction to FEM-Software II Studien-/Prüfungsleistung: Praktikum Practical Introduction to FEM-Software II
Title
Titel
Practical Session: Practical Introduction to FEM-Software II Praktikum: Practical Introduction to FEM-Software II
Sub-title
Untertitel
E: PIFEM II
Ü: PIFEM II Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
102
Module: Production Management A
Module
Modulbezeichnung Production Management A
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel PM
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 3
Person in Charge
Modulverantwortliche Schuh, Günther
Lecturer
Dozenten Schuh, Günther
Language
Sprache English Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module Pflichtmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand Total 150h, Lecture Hours 60h, Self-study 90h Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h
Lecture hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Production Management A
Markets and manufacturing conditions are frequently changing. This imposes the necessity
of long-range and intensive planning in enterprises of the manufacturing industry, as only
early accommodation of actual conditions guarantees competitiveness. Students will gain
knowledge which topics have to be considered in this context and how the gained knowledge
can be transferred to daily business of a company. For the purposes of manufacturing
engineering, Students know the following tasks that have to be carried out. After successfully
completing this course, the student will have acquired the following learning outcomes:
Knowledge / Understanding:
a) know and follow the problems of producing companies;
Abilities / Skills:
a) apply this knowledge to elaborate possibilities for rationalization and automation issues;
b) able to analyze problems in all enterprise domains which are involved in the manufacturing process
Competencies:
103
a) have the ability to elaborate rationalization methods and tools
b) find solutions best suited for the investigated subject in concerning the manufacturing domains design, operations planning and scheduling, production and assembly as well as the superior domains cost accounting, E.D.P., overall organization
Content
Inhalt
Production Management A
• From Taylorism To Virtual Factory
• Production Strategies
• Business and Process Modelling
• Product Planning & Engineering
• Variant Management
• Structured Innovation Process
• Process Planning
• Planning for Manufacture & Assembly
• Operations Management
• Materials Management
• Lean Production - Production Systems
• Technology Management I
• Technology Management II
Media
Medienform e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Production Management A
MSCAME 5 0 0 0 90
Lecture (Vorlesung): Production Management A
MSCAME 0 75 30 45 0
Exercise (Übung): Production Management A
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Examination Production Management A Studien-/Prüfungsleistung: Prüfung Production Management A
Title
Titel Examination Production Management A Prüfung Production Management A
Sub-title
Untertitel Exa PM P PM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Production Management A Studien-/Prüfungsleistung: Vorlesung Production Management A
Title
Titel Lecture Production Management A Vorlesung Production Management A
Sub-title
Untertitel L PM V PM
Semester
Studiensemester 3
Connection to the curriculum
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
104
Curriculare Verankerung
Teaching Unit / Examinations: Exercise Production Management A Studien-/Prüfungsleistung: Übung Production Management A
Title
Titel Exercise Production Management A Übung Production Management A
Sub-title
Untertitel E PM Ü PM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
105
Module: Production Metrology
Module
Modulbezeichnung
Production Metrology
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
PMet
Lecture
Lehrveranstaltungen
See list of lectures and examinations of the module
Siehe Liste der Prüfungsleistungen des Moduls Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Schmitt, Robert
Lecturer
Dozenten
Schmitt, Robert
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Learning Objectives
Angestrebte Lernergebnisse
Production Metrology
The aim of this lecture is to create the awareness, that “measuring” comprehends a lot more
than plain data acquisition and that metrology is a vital part of modern production processes.
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
Students
a) know the function and the responsibility of metrology for production
b) know the theoretical essentials which have to be taken into consideration while the
measuring process is planned, controlled, analysed, are discussed
c) know current measuring principles and devices in the field of industrial production
d) know statistical essentials being necessary for analysis of the measured values
Abilities / Skills:
Students
a) are able to define measuring task on the basis of given features
106
b) are able to select adequate measuring devices for measuring tasks
c) are able to interpret measuring results
Competencies:
Students
a) can make their decision (having arguments) on using metrology within production
b) have learned to make decisions concerning measurement on the base of different
parameters
Content
Inhalt
Production Metrology
Introduction
Relevance of metrology for quality assurance and its integration in production
processes.
Metrological principles
Metrological concepts and definitions (Calibration, Uncertainty etc.)
Tolerancing
Form and positional tolerances, tolerancing principles and fundamentals
Inspection Planning
Tasks and workflow of inspection planning, Procedure for creation of inspection
plans
Shop floor measuring devices/ Measuring sensors
Commonly used manual inspection devices for the shop floor, Function and
application of inductive, capacitive and pneumatical sensors
Optoelectronic inspection devices
Optical inspection systems for geometry testing and applications
Form and surface inspection devices
Tactile and optical system for the characterisation of forms and surfaces, surfaces
parameters
Coordinate measurement technology
Principles, types and applications of coordinate measuring machines
Gauging inspection
Form and positional gauging, Gauging Procedures
Statistical fundamentals
Statistical parameters for the description of production and
measuring processes, tests on normal distribution
SPC, Process Capability
Statistical analysis and control of processes, Process capability indices
Inspection device management
Tasks and procedures of inspection device management, Calculation of measuring
device capability, Calibration chain Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
107
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Production Metrology
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Production Metrology
MSCAME 0 75 30 45
Exercise (Übung): Production Metrology
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Production Metrology Studien-/Prüfungsleistung: Prüfung Production Metrology Title
Titel
Examination Production Metrology
Prüfung Production Metrology Sub-title
Untertitel
Exa: PMet
P: PMet Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Production Metrology Studien-/Prüfungsleistung: Vorlesung Production Metrology
Title
Titel
Lecture: Production Metrology Vorlesung: Production Metrology
Sub-title
Untertitel
L: PMet
V: PMet Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Production Metrology Studien-/Prüfungsleistung: Übung Production Metrology
Title
Titel
Exercise: Production Metrology Übung: Production Metrology
Sub-title
Untertitel
E: PMet
Ü: PMet Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
108
Module: Quality Management
Module
Modulbezeichnung
Quality Management
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
QM
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Schmitt, Robert
Lecturer
Dozenten
Schmitt, Robert
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Learning Objectives
Angestrebte Lernergebnisse
Quality Management
Due to the growing importance of quality assurance in industrial production and economy,
the lecture ''Quality Management'' was initiated at the Faculty of Production Engineering.
Quality issues of industrial applications and necessary underlying theories are emphasized
during the course of this lecture. It is the main aim of this lecture to present the students with
the abstract concept of quality, its importance and social relevance, possible organizational
forms of quality systems and relating quality management methods and tools.
During the turn, a broader perspective can also be given via discussions about more
advanced and detailed topics such as strategic quality planning, balancing quality costs and
quality related legal questions.
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding: The students…
a) understand the abstract concept of quality;
109
b) know the standards (norms); c) understand main quality issues of industrial applications; d) know necessary underlying management theories; e) understand essential quality tools, their function, the benefit and their
interdependence; f) know the organization of management systems; g) know the organization of quality systems
Abilities / Skills: The students…
a) have deepen their statistic knowledge; b) have improved their computer skills; c) have improved their economic thinking; d) analyse problematic quality issues: e) apply tools to contexts
Competencies: The students…
a. critically assess topics such as quality planning, quality costs and quality legal questions via discussions;
b. critically reflect approaches, methods and guiding principles while communicating their opinions
Content
Inhalt
Quality Management
01 Introduction:
• The concept of quality, Quality Management structures, poor quality and defects, Deming-
Chain, quality improvement and failure prevention
02 Normative QM Systems:
• Total Quality Management (TQM), normative quality management standards,
implementation of quality management systems, auditing and certification concepts
03 Strategic Quality Programs:
• Strategic Quality Programs, EFQM, RADAR, Six Sigma, Sigma Levels, ACQMM
(Aachener QM Modell) , Quality Stream (Statistics in the exercise)
04 Quality and Economics:
• Quality controlling, quality cost accounting, cost-related process performance, cost-related
quality performance indicators, balanced scorecard, target costing
05 QM in Field Data Evaluation:
• Field Data analysis, Weibull-Analysis, Isochron-Diagram, MIS-Diagram
06 QM in Manufacturing:
• Statistical Process Control, 5S, Value Stream Mapping
07 QM in the Early Phases - Focus Product:
• Kano-Model, Quality Function Deployment (QFD), House of Quality, TRIZ
08 QM in the Early Phases - Focus Process:
• Process Optimization , Design of Experiments (DoE), Factorial Designs, Shainin
Methodology
09 QM in the Early Phases - Deviation:
• Design Review, Quality Assessment, Fault Tree Analysis, FMEA, DRBFM, Rapid Quality
Deployment
10 QM in the Procurement:
• Procurement Strategies, supplier selection, incoming inspection, accepted quality level
11 Quality and Information:
• Quality control loops, quality data basis, Computer Aided Quality Management (CAQ),
computer-aided test planning, implementation of CAQ systems
12 QM in Service Industries:
• Service Engineering, Service Level Agreement, Service Blueprinting, ServQual, Vignette
Techniques, Service FMEA, Conjoint Analyses
110
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature Lectures / Examinations Studien-/Prüfungsleistungen
Title
Titel Code Kürzel
ECTS Kredit- punkte
Workload Arbeits- aufwand (h)
Lecture H. Kontakt- zeit (h)
Self-Study Selbst- studium (h)
Duration of Exam Prüfungs- dauer (min)
Examination (Prüfung): Quality Management
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Quality Management
MSCAME 0 75 30 45
Exercise (Übung): Quality Management
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Quality Management Studien-/Prüfungsleistung: Prüfung Quality Management
Title
Titel Examination Quality Management Prüfung Quality Management
Sub-title
Untertitel Exa QM P QM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Quality Management Studien-/Prüfungsleistung: Vorlesung Quality Management
Title
Titel Lecture Quality Management Vorlesung Quality Management
Sub-title
Untertitel L QM V QM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Quality Management Studien-/Prüfungsleistung: Übung Quality Management
Title
Titel Exercise Quality Management Übung Quality Management
Sub-title
Untertitel E QM Ü QM
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
111
Module: Reliable Simulation in the Mechanics of Materials and Structures
Module
Modulbezeichnung
Reliable Simulation in the Mechanics of Materials and Structures
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
RS
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Univ.-Prof. Dr.-Ing. Bernd Markert
Lecturer
Dozenten
Dr.-Ing. Yousef Heider
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 180h, Lecture Hours 60h, Self-study 120h
Gesamt 180h, Kontaktzeit 60h, Selbststudium 120h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
6
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Reliable Simulation in the Mechanics of Materials and Structures:
After successfully completing this course, the students will have acquired the following learning outcomes:
Knowledge / Understanding:
a) adjust the model complexity in relation with the modelling objective;
b) know how the level of model complexity influences the computational efforts;
c) understand the process of determining how a model implementation accurately
represents the developer’s conceptual description and specification (verification);
d) know the process of determining the degree to which a model is an accurate
representation of the real world response;
e) understand the choice of a suitable constitutive model based on experimental
results;
f) know the influence of the chosen time-integration scheme on the numerical
results;
g) understand how time scale and space dimensions affect the choice of the
numerical scheme.
112
Abilities / Skills:
a) determine the suited level of model complexity in order to simulate a given physical problem efficiently and reliably;
b) select the appropriate simulation techniques, e.g. in the case of FEM: explicit/ implicit or splitting time stepping schemes, element types and orders;
c) interpret computed results and asses their reliability.
Competencies:
a) will have better understanding and critical thinking with regard to material modelling and numerical simulation;
b) justify the efficiency and accuracy of the simulation when applying either commercial numerical tools (as often applied in companies) or also when using open-source computational tools (as often used in universities and research centers).
Content
Inhalt
Reliable Simulation in the Mechanics of Materials and Structures
Detailed course content:
Verification, validation and prediction: general definitions within the field of Computational Mechanics.
Abstraction and idealization of a physical problem: based on examples, the processes of abstraction and idealization from a real world problem into a mathematical model (depending on the aim of simulation) will be clarified. The influence of faulty idealization will be thoroughly discussed.
Verification of a model: to ensure the accuracy of the numerical implementation of the mathematical model, the results will be compared with a reference solution (e.g. analytical solution).
Factors affecting the FEM implementation: time integration scheme (explicit or implicit) , time step size, element type, static or dynamic model, linear or non-linear model geometric non-linearity, etc. .
Validation of a model: by comparison of a numerical model with reality (e.g. experimental results, complete systems).
Solving coupled problems: suitable solution strategies for weakly and strongly coupled problems. Example: differential equations of a coupled spring, damper and mass system.
Example of strongly coupled problems: multiphase porous media.
Introduction to multi-scale modeling: Effect of the time scale and space
dimensions on the choice of the modeling method (nano- to micro- to macro-
scale).
Example: applying the molecular-dynamics simulation to solve problems on the
nano-scale.
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Reliable Simulation in the Mechanics of Materials and Structures
MSCAME 6 0 0 0 120
Lecture (Vorlesung): Reliable Simulation in the
MSCAME 0 90 30 60
113
Mechanics of Materials and Structures
Exercise (Übung): Reliable Simulation in the Mechanics of Materials and Structures
MSCAME 0 90 30 60
Teaching Unit / Examinations: Examination Reliable Simulation in the Mechanics of Materials and Structures Studien-/Prüfungsleistung: Prüfung Practical Reliable Simulation in the Mechanics of Materials and Structures Title
Titel
Examination Reliable Simulation in the Mechanics of Materials and Structures
Prüfung Reliable Simulation in the Mechanics of Materials and Structures Sub-title
Untertitel
Exa: RS
P: RS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Reliable Simulation in the Mechanics of Materials and Structures Studien-/Prüfungsleistung: Vorlesung Reliable Simulation in the Mechanics of Materials and Structures
Title
Titel
Lecture: Reliable Simulation in the Mechanics of Materials and Structures Vorlesung: Reliable Simulation in the Mechanics of Materials and Structures
Sub-title
Untertitel
L: RS
V: RS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Reliable Simulation in the Mechanics of Materials and Structures
Studien-/Prüfungsleistung: Exercise Reliable Simulation in the Mechanics of Materials and Structures
Title
Titel
Exercise: Reliable Simulation in the Mechanics of Materials and Structures Übung: Reliable Simulation in the Mechanics of Materials and Structures
Sub-title
Untertitel
E: RS
Ü: RS Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
114
Module: Selected Topics of Inelasticity Theory
Module
Modulbezeichnung
Selected Topics of Inelasticity Theory
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
STIP
Lecture
Lehrveranstaltungen
See list of lectures and examinations of the module
Siehe Liste der Prüfungsleistungen des Moduls Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Heider, Yousef
Lecturer
Dozenten
Heider, Yousef
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 180h, Lecture Hours 60h, Self-study 120h
Gesamt 180 h, Kontaktzeit 60 h, Selbststudium 120 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
6
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Learning Objectives
Angestrebte Lernergebnisse
Selected Topics of Inelasticity Theory
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding
a) understand the concepts of plasticity and viscoelasticity as important classes of
inelastic material response with a wide range of engineering applications.
Abilities / Skills
a) obtain a detailed understanding of selected aspects of the theories of plasticity and viscoelasticity, including specific algorithmic treatments.
Content
Inhalt
Selected Topics of Inelasticity Theory
It is the superior goal of the lecture to foster the understanding of general inelastic material behavior
with regard to the theoretical modeling and the numerical treatment based on selected model
problems. As an example, the selected material models under consideration may cover
115
micromechanically motivated approaches to inelastic material response such as crystal
plasticity or
purely phenomenological formulations of an inelastic material response such as
viscoelasticity
Detailed course content:
12. Introduction to inelastic material behavior
13. Kinematics of finite inelastic deformations in natural basis
14. Constitutive modeling with internal state variables
15. Derivation and evaluation of the dissipation inequality
16. Formulation of thermodynamical consistent inelastic evolution quations on the example of finite viscoelasticity and finite viscoplasticity
Local stress computation; numerical treatment of the evolution equations
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature Lectures / Examinations Studien-/Prüfungsleistungen
Title
Titel Code Kürzel
ECTS Kredit- punkte
Workload Arbeits- aufwand (h)
Lecture H. Kontakt- zeit (h)
Self-Study Selbst- studium (h)
Duration of Exam Prüfungs- dauer (min)
Examination (Prüfung): Selected Topics of Inelasticity Theory
MSCAME 6 0 0 0 30 (oral) or 120 (written)
Lecture (Vorlesung): Selected Topics of Inelasticity Theory
MSCAME 0 90 30 60
Exercise (Übung): Selected Topics of Inelasticity Theory
MSCAME 0 90 30 60
Teaching Unit / Examinations: Examination Selected Topics of Inelasticity Theory Studien-/Prüfungsleistung: Prüfung Selected Topics of Inelasticity Theory
Title
Titel Examination Selected Topics of Inelasticity Theory Prüfung Selected Topics of Inelasticity Theory
Sub-title
Untertitel Exa STIP P STIP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Selected Topics of Inelasticity Theory Studien-/Prüfungsleistung: Vorlesung Selected Topics of Inelasticity Theory
Title
Titel Lecture Selected Topics of Inelasticity Theory Vorlesung Selected Topics of Inelasticity Theory
Sub-title
Untertitel L STIP V STIP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Selected Topics of Inelasticity Theory Studien-/Prüfungsleistung: Übung Selected Topics of Inelasticity Theory
Title
Titel Exercise Selected Topics of Inelasticity Theory Übung Selected Topics of Inelasticity Theory
116
Sub-title
Untertitel E STIP Ü STIP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester) Semestervariable Pflichtleistung
117
Module: Simulation of Discrete Event Systems
Module
Modulbezeichnung
Simulation of Discrete Event Systems
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
SDES
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Schlick, Christopher
Lecturer
Dozenten
Schlick, Christopher
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Simulation of Discrete Event Systems
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
a) Students know important theories and techniques for modelling discrete event
systems;
b) understand the principles of simulation based on advance approaches.
Abilities / Skills:
a) Students are able to analyse real systems and build quantitative models of these
systems
b) using the proposed methods for analysis and simulation;
c) are able to predict future states and properties of the modelled systems.
118
Competencies:
a) Students have learned to describe, analyse and evaluate event systems, apply
their knowledge and skills to real-life engineering systems and come to well-
founded conclusions;
b) understand how to model robust, effective and efficient systems which improve the
satisfaction and the safety of the persons involved.
Content
Inhalt
Simulation of Discrete Event Systems
Definition of Discrete Event Systems and fundamentals of simulation, modelling
and application
Deterministic approaches
o Languages, various kinds of automata, automata-generated languages
o Properties and relations of state charts
o Petri nets and coverability trees
o Timed models
Stochastic approaches
o Stochastic timed models
o Markov Chains and Variable Length
o Queuing models
o Bayesian Networks and Dynamic Bayesian Networks
o Event scheduling schemes and output analysis with terminating and
non-terminating simulations
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Simulation of Discrete Event Systems
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Simulation of Discrete Event Systems
MSCAME 0 75 30 45
Exercise (Übung): Simulation of Discrete Event Systems
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Simulation of Discrete Event Systems Studien-/Prüfungsleistung: Prüfung Simulation of Discrete Event Systems Title
Titel
Examination Simulation of Discrete Event Systems
Prüfung Simulation of Discrete Event Systems Sub-title
Untertitel
Exa: SDES
P: SDES Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Simulation of Discrete Event Systems Studien-/Prüfungsleistung: Vorlesung Simulation of Discrete Event Systems
119
Title
Titel
Lecture: Simulation of Discrete Event Systems Vorlesung: Simulation of Discrete Event Systems
Sub-title
Untertitel
L: SDES
V: SDES Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Simulation of Discrete Event Systems Studien-/Prüfungsleistung: Übung Simulation of Discrete Event Systems
Title
Titel
Exercise: Simulation of Discrete Event Systems Übung: Simulation of Discrete Event Systems
Sub-title
Untertitel
E: SDES
Ü: SDES Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
120
Module: Simulation Techniques (Modelling and Simulation) in Manufacturing
Technology
Module
Modulbezeichnung
Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME-3402/12
Subtitle
Untertitel
MSMT
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
3
Person in Charge
Modulverantwortliche
Klocke, Fritz
Lecturer
Dozenten
Klocke, Fritz
Language
Sprache
English
Assignment to the curriculum
Zuordnung zum Curriculum
Compulsory Module
Pflichtmodul Maschinenbau
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 45h, Self-study 105h
Gesamt 150 h, Kontaktzeit 45 h, Selbststudium 105 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
3
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
In the last years, the simulation of manufacturing processes has developed to an essential
tool for planning and improving processes. In almost every kind of manufacturing process
(e.g. forming, cutting, grinding etc.) the simulation assists the engineer in designing,
optimising and controlling processes as well as designing of equipment or just to understand
and predict fundamental mechanisms.
After successfully completing this course, the student will have acquired the following
learning outcomes:
Knowledge / Understanding:
Students
a) the basic methods in modelling and simulation of selective manufacturing
processes.
121
b) overview of the main applicability’s of simulation techniques in the following
manufacturing and planning processes:
Forming processes
Fine blanking
Sheet metal forming
Cutting processes
Grinding
Process chains
Virtual Reality
Rapid Prototyping.
c) the understanding of manufacturing processes is a basic requirement in setting up
models. Therefore the lecture provides the basics of manufacturing technologies,
subsequent the modelling of these processes is an objective of this lecture.
Abilities / Skills:
d) to use commercial software like DEFORM2D and DEFORM3D. In small groups
the participants work with this software supported by students who already gained
experience in handling this software.
Content
Inhalt
Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
In the first lecture an introduction into the subject simulation techniques in
manufacturing technology is given.
The contents of the second lecture are the fundamental aspects and processes in
metal forming, particular bulk forming.
After the student have learned the fundamental aspect of metal forming, in this lecture
the focus are the actual simulation techniques in metal forming.
The forth lecture deals about the fundamental aspects and the simulation of sheet
metal forming.
In lecture no. 5 an introduction to the fundamentals and the simulation techniques in
blanking and fine blanking processes is given.
The contents of the sixth lecture are the principles of cutting processes.
The lecture no. 7 gives a general overview about the different cutting processes.
One method in modelling cutting processes is the usage of Finite Element Modelling
(FEM). This lecture shows different current examples for the FE simulation of cutting
processes.
Lecture gives an introduction to cutting with undefined cutting edges.
The focus of lecture no. 10 is the presentation of actual modelling methods in grinding.
Special emphasis in lecture no. 11 will be placed on Rapid Prototyping, Rapid Tooling
and Virtual Reality.
The content of the last lecture deals about the design of process chains and
technology planning.
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
122
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
MSCAME 0 105 30 75
Exercise (Übung): Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
MSCAME 0 45 15 30
Teaching Unit / Examinations: Examination Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Studien-/Prüfungsleistung: Prüfung Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Title
Titel
Examination Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Prüfung Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Sub-title
Untertitel
Exa: MSMT
P: MSMT Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Lecture Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Studien-/Prüfungsleistung: Vorlesung Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Title
Titel
Lecture: Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Vorlesung: Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Sub-title
Untertitel
L: MSMT
V: MSMT Semester
Studiensemester
3
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
Teaching Unit / Examinations: Exercise Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Studien-/Prüfungsleistung: Übung Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Title
Titel
Exercise: Simulation Techniques (Modelling and Simulation) in Manufacturing Technology Übung: Simulation Techniques (Modelling and Simulation) in Manufacturing Technology
Sub-title
Untertitel
E: MSMT
Ü: MSMT Semester
Studiensemester
3
123
Connection to the curriculum
Curriculare Verankerung
Compulsory module (variable to the semester)
Semestervariable Pflichtleistung
124
Module: Tensor Algebra and Tensor Analysis for Engineering Students I
Module
Modulbezeichnung
Tensor Algebra and Tensor Analysis for Engineering Students I
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
TATA I
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
1
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Learning Objectives
Angestrebte Lernergebnisse
Tensor Algebra and Tensor Analysis for Engineering Students I
Tensor algebra is the language of modern continuum mechanics and material theory.
After successfully completing this course, the student will have acquired the following
learning outcomes:
The students will
Knowledge / Understanding:
a) be able to read and understand modern scientific literature in this area, formulate
and interpret tensor identities in absolute as well as index notation.
b) understand principles of differential geometry and field theory
The students will
Abilities / Skills:
a) be able to apply field operators
125
Content
Inhalt
Tensor Algebra and Tensor Analysis for Engineering Students I
Notion of the vector space
Geometrical illustration of vectors
Examples of vector spaces
Basis and dimension of the vector space
Components of a vector, summation convention
Scalar product of vectors, Euclidean space
Orthonormal basis
Dual basis
Second-order tensor as a linear mapping
Right and left mapping
Tensor product
Representation of a tensor with respect to a basis
Change of the basis, transformation rules
Special operations with second-order tensors
Tensor functions, exponential tensor function
Transposition, symmetric and skew-symmetric t
tensors
Inversion
Scalar product of tensors
Decomposition of second-order tensors
Vector and tensor valued functions, differential calculus
Coordinates in Euclidean space, tangent vectors
Coordinate transformation, covariant and contravariant components
Gradient, covariant derivative
Christoffel symbols, representation of the covariant derivative
Mock-Examination
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Tensor Algebra and Tensor Analysis for Engineering Students I
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Tensor Algebra and Tensor Analysis for Engineering Students I
MSCAME 0 75 30 45
Exercise (Übung): Tensor Algebra and Tensor Analysis for Engineering Students I
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Tensor Algebra and Tensor Analysis for Engineering Students I Studien-/Prüfungsleistung: Prüfung Tensor Algebra and Tensor Analysis for Engineering Students I Title
Titel
Examination Tensor Algebra and Tensor Analysis for Engineering Students I
Prüfung Tensor Algebra and Tensor Analysis for Engineering Students I Sub-title
Untertitel
Exa: TATA I
P: TATA I
126
Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Tensor Algebra and Tensor Analysis for Engineering Students I Studien-/Prüfungsleistung: Vorlesung Tensor Algebra and Tensor Analysis for Engineering Students I Title
Titel
Lecture: Tensor Algebra and Tensor Analysis for Engineering Students I Vorlesung: Tensor Algebra and Tensor Analysis for Engineering Students I
Sub-title
Untertitel
L: TATA I
V: TATA I Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Tensor Algebra and Tensor Analysis for Engineering Students I Studien-/Prüfungsleistung: Übung Tensor Algebra and Tensor Analysis for Engineering Students I
Title
Titel
Exercise: Tensor Algebra and Tensor Analysis for Engineering Students I Übung: Tensor Algebra and Tensor Analysis for Engineering Students I
Sub-title
Untertitel
E: TATA I
Ü: TATA I Semester
Studiensemester
1
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
127
Module: Tensor Algebra and Tensor Analysis for Engineering Students II
Module
Modulbezeichnung
Tensor Algebra and Tensor Analysis for Engineering Students II
Modul level
Modulniveau
Master
Code
Kürzel
MSCAME
Subtitle
Untertitel
TATA II
Lecture
Lehrveranstaltungen
Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester
2
Person in Charge
Modulverantwortliche
Itskov, Mikhail
Lecturer
Dozenten
Itskov, Mikhail
Language
Sprache
English
Englisch Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module
Wahlmodul
Teaching form
Lehrformen
Written examination (Exa), Lecture (L), Exercise (E)
Klausur (Kl), Vorlesung (V), Übung (Ü) Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60h, Self-study 90h
Gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h Lecture hours / Lecture Hours
Kontaktzeit (SWS)
4
ECTS-Credit Points (CP)
Kreditpunkte
5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
Learning Objectives
Angestrebte Lernergebnisse
Tensor Algebra and Tensor Analysis for Engineering Students II
Additionally to the results of the first part of the course, the students obtain the following
learning outcomes:
The students will
Knowledge / Understanding:
a) acquire knowledge of material symmetry.
Abilities / Skills:
a) be able to formulate constitutive relations for isotropic and anisotropic materials
like fiber-reinforced composites or soft biological tissues
b) be able to formulate various balance equations for solids and fluids in absolute and
index notation on the basis of the field theory and differential calculus
Content
Inhalt
Tensor Algebra and Tensor Analysis for Engineering Students II
128
Three-dimensional vector fields
Divergence and curl
Eigenvalue problem for second-order tensors
Eigenvalues and eigenvectors
Characteristic polynomial
Principal invariants of a second-order tensor
Relationships between principal invariants, principal traces and eigenvalues
Spectral representation and eigenprojections
Spectral decomposition of symmetric tensors
Cayley-Hamilton theorem
Scalar-valued isotropic tensor functions
Representations of isotropic tensor functions
Scalar-valued anisotropic tensor functions
Rychlewski´s theorem
Material symmetry
Isotropic, transversely isotropic and orthotropic materials
Derivatives of scalar-valued tensor functions
Tensor differentiation rules
Derivatives of principal invariants, principal traces and eigenvalues of a second-
order tensor
Constitutive relations for hyperelastic materials
Tensor-valued isotropic tensor functions
Representation theorem
Example: constitutive relations for isotropic and anisotropic elastic materials
Mock-Examination
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur
Lecture Notes
Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel
Code
Kürzel
ECTS
Kredit- punkte
Workload
Arbeits- aufwand (h)
Lecture H.
Kontakt- zeit (h)
Self-Study
Selbst- studium (h)
Duration of Exam
Prüfungs- dauer (min)
Examination (Prüfung): Prüfung Tensor Algebra and Tensor Analysis for Engineering Students II
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Prüfung Tensor Algebra and Tensor Analysis for Engineering Students II
MSCAME 0 75 30 45
Exercise (Übung): Prüfung Tensor Algebra and Tensor Analysis for Engineering Students II
MSCAME 0 75 30 45
Teaching Unit / Examinations: Examination Tensor Algebra and Tensor Analysis for Engineering Students II Studien-/Prüfungsleistung: Prüfung Tensor Algebra and Tensor Analysis for Engineering Students II Title
Titel
Examination Tensor Algebra and Tensor Analysis for Engineering Students II
Prüfung Tensor Algebra and Tensor Analysis for Engineering Students II Sub-title
Untertitel
Exa: TATA II
P: TATA II Semester
Studiensemester
2
129
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Tensor Algebra and Tensor Analysis for Engineering Students II Studien-/Prüfungsleistung: Vorlesung Tensor Algebra and Tensor Analysis for Engineering Students II Title
Titel
Lecture: Tensor Algebra and Tensor Analysis for Engineering Students II Vorlesung: Tensor Algebra and Tensor Analysis for Engineering Students II
Sub-title
Untertitel
L: TATA II
V: TATA II Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Tensor Algebra and Tensor Analysis for Engineering Students II Studien-/Prüfungsleistung: Übung Tensor Algebra and Tensor Analysis for Engineering Students II
Title
Titel
Exercise: Tensor Algebra and Tensor Analysis for Engineering Students II Übung: Tensor Algebra and Tensor Analysis for Engineering Students II
Sub-title
Untertitel
E: TATA II
Ü: TATA II Semester
Studiensemester
2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
130
Module: Welding and Joining Technologies
Module
Modulbezeichnung Welding and Joining Technologies
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel WJT
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 2
Person in Charge
Modulverantwortliche Reisgen, Uwe
Lecturer
Dozenten Reisgen, Uwe
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen Written examination, Lecture, Exercise Klausur (Kl), Vorlesung (V), Übung (Ü)
Workload
Arbeitsaufwand
Total 150h, Lecture Hours 60 h, Self-study 90h
gesamt 150 h, Kontaktzeit 60 h, Selbststudium 90 h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Welding and Joining Technologies
Welding is an interdisciplinary technology. All fields of industrial manufacturing require the
joining of individual parts to functional groups. Many welding and cutting technologies are
applicable for this purpose. After successfully completing this course, the student will have
acquired the following learning outcomes:
Knowledge / Understanding:
a) know and understand the main welding technologies
Abilities / Skills:
b) capable to select the suitable welding technologies for a welding task and to substantiate the selection by specifying the advantages and the disadvantages of the individual methods
Content
Inhalt
Welding and Joining Technologies
Introduction
131
Welding of steel
Gas Fusion Welding
Manual Metal Arc Welding
Submerged Arc Welding
TIG Welding
Plasma Welding
MIG Welding
Electro Gas Welding
Electro Slag Welding
Pressure Welding
Resistance Welding
Electron Beam Welding
Laser Beam Welding
Special Processes
Mechanisation / Automation
Sensor Technology
Brazing
Mechanical Joining / Adhesive Bonding
Essentials in Design and Calculation
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel Code Kürzel
ECTS Kredit- punkte
Workload Arbeits- aufwand (h)
Lecture H. Kontakt- zeit (h)
Self-Study Selbst- studium (h)
Duration of Exam Prüfungs- dauer (min)
Examination (Prüfung): Welding and Joining Technologies
MSCAME 5 0 0 0 120
Lecture (Vorlesung): Welding and Joining Technologies
MSCAME 0 75 30 45 0
Exercise (Übung): Welding and Joining Technologies
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Welding and Joining Technologies Studien-/Prüfungsleistung: Prüfung Welding and Joining Technologies
Title
Titel
Examination Welding and Joining Technologies
Prüfung Welding and Joining Technologies
Sub-title
Untertitel
Exa WJT
P WJT
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Lecture Welding and Joining Technologies Studien-/Prüfungsleistung: Vorlesung Welding and Joining Technologies
Title
Titel
Lecture Welding and Joining Technologies
Vorlesung Welding and Joining Technologies
Sub-title
Untertitel
L WJT
V WJT
Semester
Studiensemester 2
132
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Exercise Welding and Joining Technologies Studien-/Prüfungsleistung: Übung Welding and Joining Technologies
Title
Titel
Exercise Welding and Joining Technologies
Übung Welding and Joining Technologies
Sub-title
Untertitel
E WJT
Ü WJT
Semester
Studiensemester 2
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
133
Module: Mechanics of Forming Processes
Module
Modulbezeichnung Mechanics of Forming Processes
Modul level
Modulniveau Master
Code
Kürzel MSCAME
Subtitle
Untertitel MFP
Lecture
Lehrveranstaltungen See list of lectures and examinations of the module Siehe Liste der Prüfungsleistungen des Moduls
Semester
Studiensemester 3
Person in Charge
Modulverantwortliche Markert, Bernd
Lecturer
Dozenten Jenkouk, Vahid
Language
Sprache
English
Englisch
Assignment to the curriculum
Zuordnung zum Curriculum
Elective Module Wahlmodul
Teaching form
Lehrformen
Examination (Exa), Lecture (L), Exercise (E) – Written or oral examination depending on number of students Prüfung (Kl), Vorlesung (V), Übung (Ü) – Schriftliche oder mündliche Prüfung in Abhängigkeit der Teilnehmerzahl
Workload
Arbeitsaufwand
Total 180h, Lecture Hours 60 h, Self-study 120h
gesamt 180 h, Kontaktzeit 60 h, Selbststudium 120 h
Lecture hours / Lecture Hours
Kontaktzeit (SWS) 4
ECTS-Credit Points (CP)
Kreditpunkte 5
Requirements according to examination regulation
Voraussetzungen nach Prüfungsordnungen
-none-
Learning Objectives
Angestrebte Lernergebnisse
Mechanics of Forming Processes
Knowledge / Understanding
Overall goal: After successfully completing this course, the student will have acquired the
following learning outcomes:
1. Understand the theoretical backgrounds of forming processes and plasticity.
2. Know state of the art metal forming processes such as sheet bending, cupping,
drawing, hydroforming, detonation forming, spinning, rolling, closed die forging and
extrusion
3. Know analytical and numerical modelling techniques in forming (e.g. slab analysis,
upper bound analysis, finite element method)
4. Understand the challenges of modelling forming processes and limitations of the
techniques (e.g. numerical instabilities)
5. Have a notion of ongoing research questions in metal forming
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Abilities / Skills
Students are able to:
1. Develop mechanicalmodels for describing forming processes 2. Select the appropriate modelling technique for a given forming problem; 3. Determine the right level of model complexity for efficient and reliable simulation 4. Determine load and motion requirements for forming machines/processes
Content
Inhalt
Mechanics of Forming Processes
Course content:
1. Introduction to forming: common industrial metal forming processes and main challenges related to modelling
2. Review of continuum mechanics basics and tensor calculus, kinematic and balance relations
3. Constitutive models of plastic deformation and material properties
4. Boundary conditions: e.g. friction and lubrication, heat transfer, applied loading
5. Analytical methods in forming: e.g. Slab analysis, upper bound method, slip line field analysis
6. Numerical methods in forming: e.g. finite element method, finite difference method
7. Modelling of industrial forming processes demonstrated by examples
8. Ongoing research questions in metal forming
9. Case study e.g. high-speed forming
Media
Medienform
e-Learning L2P, Power Point
Literature
Literatur Lecture Notes Students also receive a list of relevant literature
Lectures / Examinations
Studien-/Prüfungsleistungen
Title
Titel Code Kürzel
ECTS Kredit- punkte
Workload Arbeits- aufwand (h)
Lecture H. Kontakt- zeit (h)
Self-Study Selbst- studium (h)
Duration of Exam Prüfungs- dauer (min)
Examination (Prüfung): Mechanics of Forming Processes
MSCAME 5 0 0 0 30 (oral) or 120 (written)
Lecture (Vorlesung): Mechanics of Forming Processes
MSCAME 0 75 30 45 0
Exercise (Übung): Mechanics of Forming Processes
MSCAME 0 75 30 45 0
Teaching Unit / Examinations: Mechanics of Forming Processes Studien-/Prüfungsleistung: Mechanics of Forming Processes
Title
Titel
Examination Mechanics of Forming Processes
Prüfung Mechanics of Forming Processes
Sub-title
Untertitel
Exa MFP
P MFP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Mechanics of Forming Processes Studien-/Prüfungsleistung: Mechanics of Forming Processes
Title
Titel
Lecture Mechanics of Forming Processes
Vorlesung Mechanics of Forming Processes
135
Sub-title
Untertitel
L MFP
V MFP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung
Teaching Unit / Examinations: Mechanics of Forming Processes Studien-/Prüfungsleistung: Mechanics of Forming Processes
Title
Titel
Exercise Mechanics of Forming Processes
Übung Mechanics of Forming Processes
Sub-title
Untertitel
E MFP
Ü MFP
Semester
Studiensemester 3
Connection to the curriculum
Curriculare Verankerung
Elective module (variable to the semester)
Semestervariable Wahlleistung