Óbuda university john von neumann faculty of informatics institute of applied mathematics

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Course Situation and Event Driven Models for Multilevel Abstraction Based Virtual Engineering Spaces Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics Lecture and laboratory 1. Feature driven contextual modeling László Horváth university professor http://users.nik.uni-obuda.hu/ lhorvath/

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Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics. Course Situation and Event Driven Models for Multilevel Abstraction Based Virtual Engineering Spaces. Lecture and laboratory 1. Feature driven contextual modeling. László Horváth university professor. - PowerPoint PPT Presentation

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Page 1: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Course Situation and Event Driven Models for Multilevel Abstraction Based Virtual

Engineering Spaces

Óbuda UniversityJohn von Neumann Faculty of Informatics

Institute of Applied Mathematics

Lecture and laboratory 1.

Feature driven contextual modeling

László Horváth university professor

http://users.nik.uni-obuda.hu/lhorvath/

Page 2: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

A prezentációban megjelent képernyő-felvételek a CATIA V5 PLM rendszernek, az Óbudai Egyetem Intelligens Mérnöki Rendszerek Laboratóriumában telepített installációján készültek, valóságos működő

modellekről, a rendszer saját eszközeivel.

Ez a prezentáció szellemi tulajdon. Hallgatóim számára rendelkezésre áll. Minden más felhasználása és másolása nem megengedett!

CATIA V5 PLM rendszer a Dassult Systémes Inc. és a CAD-Terv Kft segítségével üzemel laboratóriumunkban

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 3: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Principle and modeling by features

Demand Solution

Information loss free information exchange

IPIM, product model (ISO 13303), AP

Engineering task specific model objects Form feature driven product definition

1990-2000

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Feature Modifies model by a definite manner through contextual connections with previously

defined features.

Feature driven modelingConstruction of product model by a series of features.

Page 4: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Three leveled modeling of form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Level 1: Application feature

Level 2: Form feature

Level 3: Form feature representation

Form Feature Information Model (FFIM)

Application specific attributes

The form feature itself

Boundary representation

Page 5: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Groups of form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Dress-Up

Surface-Based

Reference Elements

Associating Bodies

TransformationsTranslations and rotations

Patterns

These groups are defined according to modification principle and method.In practice, these groups are divided to subgroups according to the purpose of the modification.

Features

Form

Volume adding

Volume subtracting

Connecting features

On edge

On surface

On shell

Page 6: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Volume adding form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 7: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Volume subtracting form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 8: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Volume subtracting form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 9: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Dress-Up form features - On edge

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 10: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Dress-Up form features - On surface

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 11: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Dress-Up form features - On shell

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 12: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Dress-Up form features - On shell

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 13: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Dress-Up form features - On shell

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 14: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Surface-Based form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 15: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Surface-Based form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 16: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - rotation

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 17: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - Patterns

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 18: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - Patterns

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 19: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - Patterns

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 20: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - Patterns

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 21: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Transformation form features - Patterns

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 22: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Reference Element form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 23: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating Bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 24: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating Bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 25: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating Bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 26: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating Bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 27: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 28: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Associating bodies form features

László Horváth UÓ-JNFI-IAM http://users.nik.uni-obuda.hu/lhorvath/

Page 29: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Dimension

Limiting featureCurve

Surface

Chain of lines and curves

Constraints

Shape adding feature

Reference feature

Activeness

Page 30: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Dimension, constraints, and shape adding chain of lines and curves

Page 31: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Dimension, constraints, and shape adding chain of lines and curves

Page 32: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Dimension, constraints, and shape adding chain of lines and curves

Page 33: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Limiting feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Page 34: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Limiting feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Page 35: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Activeness feature parameters

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Page 36: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Contextual chain of features – principle

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

F1 P1 F2 P3

XY plane Plane Pl

Offset of the XY plane

F3 P2

Contour Co

In the XY plane Pl

Branch in a graph structure

Page 37: Óbuda University John von Neumann Faculty of Informatics Institute of Applied Mathematics

Understanding form features

László Horváth UÓ-JNFI-IAM http://nik.uni-obuda.hu/lhorvath/

Laboratory task SEMAL2E1

This task is composed by the examples of feature and feature parameter types on slides 6-37