computational nanotechnology
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Computational Nanotechnology. N. Chandra Department of Mechanical Engineering FAMU-FSU College of Engineering Florida State University Tallahassee, FL 32312. Outline of the talk. What is nanotechnology? Some potential applications Composites, Electronics, energy storage - PowerPoint PPT PresentationTRANSCRIPT
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-1
Computational Nanotechnology
N. Chandra
Department of Mechanical EngineeringFAMU-FSU College of Engineering
Florida State UniversityTallahassee, FL 32312
N. Chandra
Department of Mechanical EngineeringFAMU-FSU College of Engineering
Florida State UniversityTallahassee, FL 32312
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-2
Outline of the talk
• What is nanotechnology?
• Some potential applications•Composites, Electronics, energy storage
• Carbon nanotube and CNT based composites•Geometric features
•CNT based composites
•Role of interfaces in composites
•Experimental observations
• Computational Aspects of Nanotechnology
• Outstanding mechanics Issues
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-3
Smaller and smaller and then some more..
*From Nanotechnology Magazine (nanozine.com)
Nanotechnology is the development of products and device at the nanoscale.
Capability of Nanotechnology Capability of Nanotechnology
High StrengthMaterial (>10 GPa)High StrengthMaterial (>10 GPa)
Revolutionary Aircraft Concepts (30% less mass, 20% less emission, 25% increased range)
Revolutionary Aircraft Concepts (30% less mass, 20% less emission, 25% increased range)
Adaptive Self-Repairing Space MissionsAdaptive Self-Repairing Space Missions
Reusable Launch Vehicle (20% less mass, 20% less noise)
Reusable Launch Vehicle (20% less mass, 20% less noise)
Multi-Functional MaterialsMulti-Functional Materials
Autonomous Spacecraft (40% less mass)Autonomous Spacecraft (40% less mass)
Bio-Inspired Materialsand ProcessesBio-Inspired Materialsand Processes
Source: NASA Ames
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-5
• Library of Congress inside a sugar cube
• Bottom-up manufacturing
• Materials (100x) stronger but lighter than steel
• Speed and efficiency of computer chips & transistors• Nano contrast agents for cancer cell detection • Contaminant removal from water & air• Double energy efficiency of solar cells
*From Nanotechnology Magazine (nanozine.com)
Then there are dreams…
Library of Congress?Library of
Congress
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-6
By nature, humans live, work and play in the macroscale. But they have the unique ability to “think” in the nanoscale.
Control must inherently come from the MACROSCALE because that is the scale where humans reside.
MANY PATHS TO FOLLOW Biochemistry: Custom protein design Chemistry: Molecular recognition Physics: Scanning probe microscopy
Computing: Molecular modeling Engineering: Molecular electronics Engineering: Quantum electronic devices Engineering: Nanocomposites Engineering: Nanomaterials engineering
“...thorough control of the structure of matter at the molecular level. It entails the ability to build molecular systems with atom-by-atom precision, yielding a variety of nanomachines. These capabilities are sometimes referred to as molecular manufacturing.” - K. Eric Drexler, 1989
To manipulate things which we cannot see without the unaided eyebut indeed understand, we must employ predictive methods: Computational Tools.
If you can’t model it, you can’t build it!
Role of Computations in Nanotechnology
Carbon NanotubesCarbon Nanotubes
Geometric Features
Unusual Properties
CNT based composites
Role of interfaces
Experimental Observations
Geometric Features
Unusual Properties
CNT based composites
Role of interfaces
Experimental Observations
Carbon Nanotubes (CNTs)Carbon Nanotubes (CNTs)
CNTs can span 23,000 miles without failing due to its own weight.
CNTs are 100 times stronger than steel.
Many times stiffer than any known material
Conducts heat better than diamond
Can be a conductor or insulator without any doping.
Lighter than feather.
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-9
Basic Configurations of CNT2There are three orbitals in CNT.
In plane -bond is extremely strong.
Out-of-plane -bond is weak.Different tubes in MWNT is connected by -bond.
sp
60, 70, 80C C C are fullerens.
Graphene sheets are rolled into tubes,
is based on the angle .
0 ;0 30 ; 30 ;
Properties depend on chirality
r na mb
Chirality
Zig Zag Chiral Armchair
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-10
• Carbon nanotubes (CNT) is a tubular form carbon with diameter as small as 1 nm. Length: few nm to microns.
• CNT is configurationally equivalent to a two dimensional graphene sheet rolled into a tube.
• CNT exhibits extraordinary mechanical properties • Young’s modulus over 1 Tera Pascal as stiff as
diamond• tensile strength ~ 200 GPa.
• CNT can be metallic or semiconducting, depending on chirality.
Carbon Nanotubes
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-11
Yielding under tensile stress
11.5% tensile strained (10,0) T=1600K
9% tensile strained (5,5) T=2400K
- MD simulations with high strain rate:
- elastic up 30% (Yakobson et al *)
- Experimentally feasible strain rate and Temperature
* Yakobson et al, Comput. Mater. Sci. 8, 341 (1997)
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-12
Yielding: Strain-rate and Temperature dependence
Tensile strain applied to a 60Å long (10,0) CNT
- yielding: strongly dependent on the strain rate and temperature !
- Linear dependence on the temperature of the of the yielding strain vs strain rate ~ activated process
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-13
Stiffness and Plasticity of SW C Nanotubes
D. Srivastava, M. Menon and K. Cho, Phys. Rev. Lett. Vol. 83, 2973 (1999)
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-14
To make use of these extra-ordinary properties, CNTs are used as reinforcements in polymer based composites
CNTs can be in the form Single wall nanotubes Multi-wall nanotubes Powders films paste
Matrix can be Polypropylene1 PMMA2
Polycarbonate3
Polystyrene4
poly(3-octylthiophene) (P3OT)5
1 Andrews R, Jacques D, Minot M, Rantell T, Macromolecular Materials And Engineering 287 (6): 395-403 (2002) 2 Cooper CA, Ravich D, Lips D, Mayer J, Wagner HD Composites Science And Technology 62 (7-8): 1105-1112 (2002) 3 Potschke P, Fornes TD, Paul DR Polymer 43 (11): 3247-3255 MAY (2002) 4 Safadi B, Andrews R, Grulke EA Journal Of Applied Polymer Science 84 (14): 2660-2669 (2002) 5 Kymakis E, Alexandou I, Amaratunga GAJ Synthetic Metals 127 (1-3): 59-62 (2002)
Polymer Composites based on CNTs
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-15
What are the critical issues? Structural and thermal properties Load transfer and mechanical properties
SEM images of polymer (polyvinylacohol) ribbon contained CNT fibers & knotted CNT fibers
(B. Vigolo et.al., Science, V290 P1331, 2000)
SEM images of epoxy-CNT composite
(L.S.Schadler et.al., Appl. Phys. Lett. V73 P3842, 1998)
Polymer Composites based on CNTs
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-16
Buckling of CNT during Composite Manufacture
• Experiment: buckling and collapse of nanotubes embedded in polymer composites.
Buckle, bend andloops of thicktubes..
Local collapse orfracture of thintubes.
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-17
o Critical length to transfer load1.
o Thermally induced residual stresses
o Number of bonds between polymer molecules and carbon nanotube
Polymer-SWNT interacting
1 SJV Frankland, A. Caglar, DW Brenner, M. Griebel, J of Physical Chemistry B, 106, 3046-3048, (2002)
Interface Bonding Issues
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-18
Composites are engineered material system with a matrix, reinforcement and an interface. Interface is not usually designed but arises naturally.
In CNT reinforced polymer matrix composites, the load and other properties are not transferred properly.
We have never had to deal with interfaces at the atomic scale.
1.Bower, Rosen, Jin, Han and Zhou, APL, 74, 22, 3317-3319 (1999)2.Qian, Dickey, Andrews, Rantell, APL, 76,20,2868-28770 (2000)
Load transfer issues in Composites
Basic concept in composites
Buckling of tubes due to
residual stresses (1)
Crack nucleation and propagation in MWNT-PS thin films. Failure occurs in low NT densities and propagate along interfaces (2)
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-19
Carbon fibers ( 4-5 micron) diameter whereas CNTs (10-100nm). Strength of CNTs are two orders higher than carbon fibers. We need desired alignment and they can be achieved during
processing either in the liquid or/and solid state.
1.Carole A. Cooper, Dianne Ravich, David Lips, Joerg Mayer, Daniel Wagner, CST, 62, 1105, 1112, (2002)
Alignment issues in CNT composites
CNTs are in nanoscales compared to carbon fibers
Alignment of fibers is very critical in obtaining desired properties. Distribution of CNTs shown. Extrusion is used in this case (1)
CNTs should be distributed homogeneously throughout the volume.
They should be oriented in directions dictated by design
Orientations will be directed (for specific properties) or random for isotropic strengthening.
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-20
TEM image of a SWNT composite1.
Carbon nanotubes indifferent orientation
Visco-elastic medium
Schematic view of the orientation of a nanotube-based composite in which the nanotubes are approximately aligned parallel to the shearing direction..
Single-wall nanotubes usually form bundles and webs and are thus strongly
entangled rather than aligning straight and in isolation.
1B. McCarthy et al., Chemical Physics letters, 350, 27-32, (2001)
Alignment of Carbon Nanotubes in Polymeric Composites
Composites are nothing new……Composites are nothing new……
Shibam Hadramout, the largest territory in The Republic of Yemen
Ghuwaizi Fort In The Republic of Yemen: Built in 1884AD as a guard post
Early form of Straw Bale brick Straw Bale brick/adobe prototype home under construction in the 1890s
CONSTRUCTION OF COMPOSITES CONSTRUCTION OF COMPOSITES
Why Composites
• High strength to density.• High stiffness to density.• Formable to complex shapes.• Electrically and thermally non- conductive & conductive.• Corrosion resistance.• Wear resistance.• Fatigue resistance.• Creep & stress-rupture resistance.• Low coefficient of thermal expansion.• Tailorable mechanical and physical properties.• Low cost (In some cases).
Why Composites
• High strength to density.• High stiffness to density.• Formable to complex shapes.• Electrically and thermally non- conductive & conductive.• Corrosion resistance.• Wear resistance.• Fatigue resistance.• Creep & stress-rupture resistance.• Low coefficient of thermal expansion.• Tailorable mechanical and physical properties.• Low cost (In some cases).
The Family of Structural Materials
The family of structural materials includes ceramics, polymers and metals. Reinforcenments added to these materials produce MMCs, CMCs and PMCs.
The Family of Structural Materials
The family of structural materials includes ceramics, polymers and metals. Reinforcenments added to these materials produce MMCs, CMCs and PMCs.
Ceramics
Metals
Polymers
MMCs
Reinforcements
TYPES OF FIBER-REINFORCED COMPOSITETYPES OF FIBER-REINFORCED COMPOSITE
PMCs:
MMCs:
CMCs:
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-24
DEFINITION AND CLASSIFICATION OF INTERFACEDEFINITION AND CLASSIFICATION OF INTERFACE
An interface is a bounding surface or zone where a discontinuity in physical, mechanical, or chemical characteristics occurs.
An interface is a bounding surface or zone where a discontinuity in physical, mechanical, or chemical characteristics occurs.
DEFINITION OF AN INTERFACE
CLASSIFICATION OF INTERFACE
Based on the materials of constituents, the interface can be classified as:
Metal/Ceramic Interface, e.g., Al/Al2O3, Ti/SiC.
Ceramic/Ceramic Interface, e.g., SiC/SiC. Polymer/Metal Interface, e.g., epoxy/steel. Polymer/Ceramic Interface, e.g.,
epoxy/glass.
Based on the materials of constituents, the interface can be classified as:
Metal/Ceramic Interface, e.g., Al/Al2O3, Ti/SiC.
Ceramic/Ceramic Interface, e.g., SiC/SiC. Polymer/Metal Interface, e.g., epoxy/steel. Polymer/Ceramic Interface, e.g.,
epoxy/glass.
Based on the chemical reaction of interface, there are three classes proposed as:
Class I, fiber and matrix mutually nonreactive and insoluble.
Class II, fiber and matrix mutually nonreactive but Soluble.
Class III, fiber and matrix reactive to form compound(s) at interface.
Based on the chemical reaction of interface, there are three classes proposed as:
Class I, fiber and matrix mutually nonreactive and insoluble.
Class II, fiber and matrix mutually nonreactive but Soluble.
Class III, fiber and matrix reactive to form compound(s) at interface.
Inte
rfac
e
Properties affected
Fatigue/Fracture Thermal/electronic/magnetic
Factors affecting interfacial properties
Trans. & long.Stiffness/strength
Interfacial chemistry
Mechanical effects
Origin: Chemical reaction during thermal-mechanical Processing and service conditions, e.g. Aging, Coatings, Exposures at high temp..
Issues: Chemistry and architecture effects on mechanical properties.
Approach: Analyze the effect of size of reaction zone and chemical bond strength (e.g. SCS-6/Ti matrix and SCS-6/Ti matrix )
Residual stress
Origin: CTE mismatch between fiber and matrix.
Issues: Significantly affects the state of stress at interface and hence fracture process
Approach: Isolate the effects of residual stress state by plastic straining of specimen; and validate with numerical models.
Asperities
Origin: Surface irregularities inherent in the interfaceIssues: Affects interface fracture process through mechanical loading and frictionApproach: Incorporate roughness effects in the interface model; Study effect of generating surface roughness using: Sinusoidal functions and fractal approach; Use push-back test data and measured roughness profile of push-out fibers for the model.
Metal/ceramic/polymer
CNTs
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-26
T
T
Interfaces are modeled as cohesive zones using a potential function
( , ) ( , , , )n t n t n tf ,n t are work of normal and
tangential separation
are normal and tangential displacement jump ,n t
The interfacial tractions aregiven by
,n tn t
n t
T T
Interfacial traction-displacement relationship are obtained using molecular dynamics simulation based on EAM functions
1.X.P. Xu and A Needleman, Modelling Simul. Mater. Sci. Eng.I (1993) 111-1322.N. Chandra and P.Dang, J of Mater. Sci., 34 (1999) 655-666
Grain boundaryinterface
Mechanics of Interfaces in Composites
Atomic Simulations
Reference
Formulations
Issues in CNT based compositesIssues in CNT based composites
Expected Properties of Composites are not realized. Some issues include
Controlling alignment during processing Homogeneous distribution (spatial)
Orientation control (directional)
Processing induced residual stresses
Interface boding (at atomic level) Load transfer
Fracture/load shedding
Expected Properties of Composites are not realized. Some issues include
Controlling alignment during processing Homogeneous distribution (spatial)
Orientation control (directional)
Processing induced residual stresses
Interface boding (at atomic level) Load transfer
Fracture/load shedding
Computational AspectsComputational Aspects
Multi-scale modeling methods
Formulations and solution procedures
Computational Requirements
Some sample simulations
Outstanding issues in nanomechanics and nanophysics
Multi-scale modeling methods
Formulations and solution procedures
Computational Requirements
Some sample simulations
Outstanding issues in nanomechanics and nanophysics
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-29
Hierarchical Modeling of MaterialsHierarchical Modeling of Materials
Balance Laws(Force,Momentum,Energy)Continuum MechanicsThermodynamics(Constitutive Equations)
FEM, FDM,BEMMinimize Global Energy
Large Scale ComputingAdaptive Auto RemeshingMassive Parallel ComputingData Structure for Parallel Adaptive SolutionVisualization
Structural DesignBulk /Sheet FormingComposite Mechanics
MACRO SCALETheory
Numerical Tools
Computational Issues
Applications
1m
10-3 m
10-6 m
10-9 m
FEM mesh for a Superplastic Component
Paperless Design of Boeing777
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-30
Ab-Initio methodsQuantum MechanicsDensity Functional TheoryEAM PotentialPair Potential
Molecular StaticsMolecular DynamicsMonte Carlo Simulations
Limited by time (ps)And space (103 to107 atoms)Parallel Molecular DynamicsPMD code developed at Sandia
Defects,(e.g.Vacancies,Dislocations)Grain boundary slidingCrack tip evolutionPhase transformationNanocrystals, Thin films
Theory
Numerics
Computational Issues
Applications
ATOMIC - SCALE Hierarchical Modeling of MaterialsHierarchical Modeling of Materials1m
10-3 m
10-6 m
10-9 m
(110) 9 Grain BoundaryRed Atoms Show GB
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-31
Multiscale Approaches for Systems Simulations
Finite element for homogeneous, Continuum description
Mesoscopic dynamics for non-homogeneous
Atomistic MD, many-body force fields
Semi-empirical, tight-binding MD
ab-initio, structure, energetics~ 100 atoms
~ 1000 atoms
~ 1000,000 atoms
~ 1000,000,000 atoms or grid
~ bulk continuous media
Molecular Dynamics
~ up to 100s of ns
Experiments
~ up to sec, hours
Long time structuralKMC, TDMC
Hyperdynamics
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-32
Materials Applications
Practical Implementation
Conceptual Framework
Analytic Potentials
Embedded-AtomMethod:E= F(i) + i j U(rij)
Bond Order Potentials: Ei = i j [Ae-r
- z1/2Be-r]O(2) Error, Self-Consistent, Variational, Parameterized
Density Functional Theory
E=k k -sc[VH(r)/2 +Vxc(r)] dr + Exc[sc(r)]
O(2) Error, Self-Consistent, Variational, Parameterized
Harris Functional
E=k kout -in[VH(r)/2+Vxc(r)]dr +
Exc[in(r)]
O(2) Error, Self-ConsistentVariational, Parameterized
Tight Binding Methods
E = A(r) +k k.
O(2) Error, Self-Consistent, Variational, Parameterized
Moments Theorem
Large-Scale Atomic Simulation
Continuum Mechanics
Cauchy- Quasi- Born Continuum
Molecular Monte Dynamics Carlo
How do we Go Directly from Electrons to Solid Mechanics?
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-33
Discrete nature of matter – dynamical state of particle system is captured
Intrinsically nonlocal behavior Small devices often have significant influence of surfaces
(high specific surface area) Charge distribution may be important for evolution of
microstructure, damage and fracture QM, QMM Even micron scale devices are huge MD problems (especially
in 3D) Potentials are largely phenomenological, but can be adjusted to
fit various physical observations/desired outcomes
Nanoscale Mechanics – Characteristics
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-34
Potentials are often unknown for MD or MS for solid solutions,
impurities and interfaces between phases
Dynamical calculations can cover only very limited time
duration and are therefore conducted at very high rate; velocity
scaling is often used to maintain isothermal conditions, but
kinetics are altered Molecular statics can assess sequence of thermodynamic
equilibrium states with presumably non-equilibrium transit, but kinetics must be assigned
Nanoscale Mechanics – Limitations
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-35
Calculation of defect field information from many body atomistic solutions needs to be further developed
Vacancies/Porosity (coordination number for lattice) on atom-by-atom or collective basis; pore size and shape distribution an open issue
o Dislocations (centro-symmetry parameters)• Density• Populations/families
NOTE: discrete dislocation simulations focus on defect field interactions rather than lattice per se
Nanoscale Mechanics – Challenges
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-36
Modeling evolution of microstructureo Defect generation/motiono Coarsening/ageing – phase stabilityo Recrystallization
MD – timeframe too short with current computing capability & kinetics unrealistic with current implementations MS – sequence of equilibrium states in both cases, kinetics is a “bottleneck” for MS, there is a question of whether representative
non- equilibrium structures can be described
Nanoscale Mechanics – Challenges
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-37
• All physics, all the time• multi-physics• at this scale, mechanical, electrical, chemical issues are not seperable
• Must retain some level of continuum description to truly do multi-physics, but
• nucleation & other stochastic events
• non-locality
• Failure tolerant design • massive redundancy
• self-assembly?
• Sub-”physics”• lots of open questions
Theoretical and Computional Modeling Issues
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-38
• Scales• length scales are OK for atomistic simulations using empirical or semi-empirical
potentials, but still too big in most cases for first principles descriptions• time scales are disparate - ps to ms to years
• atomistics - hyper MD, parallel replica, temperature scaling, kMC, quasi-static, ensembles…
• response theory• defect dynamics, but…
• Descriptions of atomic interactions• empirical or semi-empirical still needed for “large scale” (>250 atoms) and “long-
time” (> 10 picoseconds)• first principles calculations necessary • van der Waals bonds important, currently added to first principles calculations in an
ad hoc manner
Theoretical and Computional Modeling Issues-2
Namas ChandraCSIT-Computational Nanotechnology
Nov 1, 2002Slide-39
• Continuum models• properties become boundary value problems non-locality• still required to do multiphysics• still required at the end of the day
• atomistics to find out what is important• continuum to do “real problems” - design
Theoretical and Computional Modeling Issues-3
Where are we headed? Where are we headed?
While continuum mechanics attempts to solve pde’s, molecular dynamics uses multi body dynamics (similar to the earliest planetary mechanics). Energy of the system is the common denominator in both the approaches.
Are continuum concepts valid at atomic scales? If so, how do we define them.
How do we formulate, implement and solve in large scale computing environments nano-meso-macro systems?
While continuum mechanics attempts to solve pde’s, molecular dynamics uses multi body dynamics (similar to the earliest planetary mechanics). Energy of the system is the common denominator in both the approaches.
Are continuum concepts valid at atomic scales? If so, how do we define them.
How do we formulate, implement and solve in large scale computing environments nano-meso-macro systems?