tutorial ii: constitutive models for crystalline solids
DESCRIPTION
Tutorial II: Constitutive Models for Crystalline Solids. Alberto M. Cuitiño Mechanical and Aerospace Engineering Rutgers University Piscataway, New Jersey [email protected]. IHPC-IMS Program on Advances & Mathematical Issues in Large Scale Simulation - PowerPoint PPT PresentationTRANSCRIPT
IHPC-IMS Program onAdvances & Mathematical Issues
in Large Scale Simulation(Dec 2002 - Mar 2003 & Oct - Nov 2003)
Tutorial II:Constitutive Models for Crystalline Solids
Alberto M. CuitiñoMechanical and Aerospace Engineering
Rutgers UniversityPiscataway, New [email protected]
Institute of High Performance Computing Institute for Mathematical Sciences, NUS
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• Bill Goddard• Marisol Koslowski• Stephen Kuchnicki• Michael Ortiz• Raul Radovitzky • Laurent Stainier• Alejandro Strachan• Zisu Zhao
Collaborators
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Hierarchy of Scales
length
time
mmnm µm
ms
µs
ns
Phase stability, elasticityEnergy barriers, pathsPhase-boundary mobility
Microstructures
Grains
Direct FE simulationPolycrystals
Single crystals
SCS test
Force Field
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General Framework
Incremental Field Equations
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General Framework
Additive Decomposition of the Free Energy
Multiplicative Decomposition of Deformation Gradient
HARDENINGELASTIC RESPONSE
ELASTIC RESPONSE
with
and
Temperature-dependent elastic constants for Ta
Absolute Temperature
Internal Variables
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Multiplicative Decomposition
Initial Configuration F = Fe Fp Deformed Configuration
Intermediate Configuration
ELASTIC EFFECTS Lattice deformation and
rotation
PLASTIC EFFECTS Dislocation Slip
Fp Fe
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General FrameworkHARDENING
Applied Resolved Shear Stress
Flow Rule
In rate form where
Microscopic Description
Piola-Kirchoff Stress Tensor
Slip Direction
Slip-plane Normal
Micro/Macro Relations
Current flow Stress
LOCAL CONSTITUTIVE LAW
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Dislocation Mobility (double-kink formation and thermally activated motion of
kinks)
FORMATION ENTHAPY FOR DOUBLE KINK
We consider the thermally activated motion of dislocations within an obstacle-free slip plane. Under these
conditions, the motion of the dislocations is driven by an applied resolved shear stress and is hindered by the lattice resistance, which is weak enough that it may be overcome by thermal activation. The lattice resistance is presumed to be well-described by a Peierls energy function.
Energy formation of kink pair. Estimated by atomistic calculations of the order of 1 eV
(Xu and Moriarty, 1998)
Kink proliferation is expected at
Then,
Estimated by atomistic calculations of the order of few Gpa (Xu and Moriarty, 1998)
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Dislocation Mobility (double-kink formation and thermally activated motion of
kinks)
From Orowan’s equation and transition state theory,
with
STRAIN-RATE AND TEMPERATURE DEPENDENT EFFECTIVE PEIERLS STRESS
where= dislocation densityb = Burgers vectorl = mean free-path of kinksD = Debye Frequency
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Forest Hardening (close-range interactions between primary and forest)
In the forest-dislocation theory of hardening, the motion of dislocations, which are the agents of plastic deformation in crystals, is impeded by secondary -or forest- dislocations crossing the slip plane. As the moving and forest dislocations intersect, they form jogs or junctions of varying strengths which, provided the junction is sufficiently short, may be idealized as point obstacles. Moving dislocations are pinned down by the forest dislocations and require a certain elevation of the applied resolved shear stress in order to bow out and bypass the pinning obstacles. The net effect of this mechanism is macroscopic hardening.
STRENGTH OF OBSTACLE PAIR
IN BCC CRYSTALS
Bow-out mechanism in BCC crystals
Energetic condition for bow-out process
Retaining dominant terms,
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NOTE 2: It is interesting to note that the probability density of obstacle-pair strengths for BCC differs markedly from FCC crystals. This difference owes to the different bow-out configurations for the two crystal classes and the comparatively larger values of the Peierls stress.
Forest Hardening (distribution function of obstacle-pair strength )
We assume that the point obstacles are randomly distributed over the slip plane with a mean density nof obstacles per unit area. We also assume that the obstacle pairs spanned by dislocation segments are nearest-neighbors in the obstacle ensemble.
PROBABILITY DENSITY FUNCTION
ASSOCIATED DISTRIBUTION FUNCTION
NOTE 1: The function just derived provides a complete description of the distribution of the obstacle-pair strengths when the point obstacles are of infinite strength and, consequently, impenetrable to the dislocations.
PROBABILITY DENSITY FUNCTION
for FCC
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Forest Hardening (distribution function of obstacle-pair strength)
We extend the preceding analysis to include point obstacle with finite strength.
PROBABILITY DENSITY FUNCTION
STRENGTH OF OBSTACLE FORMED BY DISLOCATIONS OF SYSTEMS AND
Heaviside Function
ASSOCIATED DISTRIBUTION FUNCTION
where Probability that the weakest of two
obstacles forming a pair be of type
with Number of obstacles of type per unit area of the slip plane which
is estimated as
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Forest Hardening (percolation motion of dislocations through a random
array)From non-equilibrium statistical concepts, we obtain
KINETIC EQUATION OF EVOLUTION
where
Then, the incremental plastic strain driven by and increment in the resolved shear stress can be expressed by
AVERAGE DISTANCE BETWEEN OBSTACLES
AVERAGE NUMBER OF JUMPS BEFORE DISLOCATION SEGMENTS ATTAIN STABLE POSITIONS
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Forest Hardening (hardening relations in rate form)
PARTICULAR CASE: OBSTACLES OF UNIFORM STRENGTH
where,HARDENING MODULUS
CHARACERISTIC STRAIN
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Dislocation Intersection(jog formation energy)
After intersection
Before intersection
Reaction coordinate
JOG FORMATION ENERGY
Favorable Junction
Unfavorable Junction
Details of Intersection Process
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Dislocation Intersection(jog formation energy)
Slip Plane
Larger population of
SCREW SEGMENTSScrew Segment
Ed
ge
Se
gm
en
tHigher mobility of
EDGE SEGMENTS INITIAL
FINAL
ENERGY FORMATION OF A EDGE SEGMENT INTERSECTING A SCREW SEGMENT
Further assuming
where r is the ratio between edge and screw energies
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Dislocation Intersection(jog formation energy)
Example of normalized jog-formation energy for r = 1.77 Computed value of r for Ta from atomistic calculations (Wang et al., 2000)
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Dislocation Intersection(obstacle strength)
By equating the energy expended in forming jogs with the potential energy released as a result of the motion of dislocation, we obtain that the forest obstacles become transparent to the motion of primary dislocations when
Obstacle strength at zero temperature
Invoking transition state theory concepts,
OBSTACLE STRENGTH
where
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Dislocation Evolution
DISLOCATION PRODUCTION by breeding by double cross-slip
where
Dislocation length emitted by source prior to saturation
Rate of generation of dynamic sources induced by
cross-slip
Energy Barrier for cross slip
Mean-free path between cross-slip events
Length of screw segment effecting cross
slip
Assuming the the mean-free path is inversely proportional to the square root of the dislocation density, we obtain
where
DISLOCATION ANNIHILATION by cross-slip
where
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Dislocation Evolution
DISLOCATION MULTIPLICATION RATE
or
This rate equation expresses a competition between the dislocation multiplication and annihilationmechanisms. For small slip strains, the multiplication term dominates and the dislocation density grows as a quadratic function of the slip rate. By contrast, for large strains, the rates of multiplication and annihilation balance out and saturation sets in. After saturation is attained, the dislocation density remains essentially unchanged. It should be carefully noted, that the saturation slip strain is a function of temperature and strain rate.
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Dislocation Evolution
TOTAL DISLOCATION MULTIPLICATION
DISLOCATION PRODUCTION by Frank-Reed sources
PRODUCTION
DISLOCATION PRODUCTION by breeding by double cross-slip = +
Thermally activated process with activation energy Ecross
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Trapped Dislocation Annihilation
Escaping Dislocation No Annihilation
Dislocation Evolution
Minimum Annihilation
Radius
Annihilation Radius (T,Strain Rate)
Imposed velocity
ANNIHILATION Maximum Annihilation
Radius
INTERACTION FORCE
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Comparison with Experiment
ORIENTATION DEPENDENCE
Sensitivity to misalignment
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Comparison with Experiment(Theory and Experiment)
TEMPERATURE DEPENDENCE
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Comparison with Experiment(Theory and Experiment)
STRAIN-RATE DEPENDENCE
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Microscopic PredictionsSlip Strains
TEMPERATURE DEPENDENCE
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Microscopic PredictionsSlip Strains
STRAIN-RATE DEPENDENCE
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Microscopic PredictionsDislocation Densities
TEMPERATURE DEPENDENCE
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Microscopic PredictionsDislocation Densities
STRAIN-RATE DEPENDENCE
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Cor
e en
ergy
(eV
/b)
1/2a<111> edge dislocationin (110) plane
1/2a<111> screw dislocation
Volume (1/V0)
540 GPa
MD Data
Application of EoS
Find Jacobian of F
(=det(F))
Use EoS to find
hydrostatic pressure
Evaluate core energies
and elastic moduli
Data from MP group
Goddard, Strachan, Cagin, Wu
Pressure Dependency
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[213] Ta single crystal;
Strain speed: 10-3 /s;
Without core energy data
With core energy data
Pressure and Plasticity
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Closer examination of core energy effects
Elastic range shows
expected behavior
Plastic behavior converges
with increasing pressure
Pressure in Core Energy + EoS
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Material Parameters
MATERIAL PROPERTYFITTED FROM EXPERIMENT
Lkink/b 13
Ekink [eV] 0.70
Uedge/ b2 0.200
Uedge/ Uscrew 1.77
Ecross [eV]0.65
b = 2.86e-10 m ; T_Debye = 340
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Comparison with Experiment
TEMPERATURE DEPENDENCE
Mitchell and Spitzig, 1965 EXPERIMENT THEORY
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Comparison with Experiment
Mitchell and Spitzig, 1965
EXPERIMENT THEORY
STRAIN-RATE DEPENDENCE
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Material Parameters
MATERIAL PROPERTY
FITTED FROM EXPERIMENT
COMPUTED BY ATOMISTICS
Lkink/b 13 17
Ekink [eV] 0.70 0.73
Uedge/ b2 0.200 0.216
Uedge/ Uscrew 1.77 1.77
Ecross [eV]0.65 -
ATOMISTICS from WANG, STRACHAN, CAGIN and GODDARD
MATERIAL PROPERTY
FITTED FROM EXPERIMENT
Lkink/b 13
Ekink [eV] 0.70
Uedge/ b2 0.200
Uedge/ Uscrew 1.77
Ecross [eV]0.65
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Multiscale Modeling Final Remarks
• Multiscale modeling leads to material parameters which quantify well-defined physical entities
• The material parameters for Ta have been determined independently in two ways:
• Both approaches have yielded ostensibly identical material parameters!
• Same agreement with experiment would have been obtained if the parameters had been determined directly by simulation in the absence of data.
• This provides validation of modeling and simulation paradigm (as a complement to experimental science).
Fitting Atomistic calculations
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Another Study Case
ab initio QMEoS of various phasesTorsional barriersVibrational frequencies
Force Fields and MDElastic, dielectric constantsNucleation BarrierDomain wall and interface mobilityPhase transitionsAnisotropic Viscosity
Meso- Macro-scaleNanostructure-properties relationshipsConstitutive Laws
Direct problem
Inverse problem
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Features: - Utilizes multiplicative decomposition of the deformation gradient into elastic-piezoelectric and phase transitional parts,
-Accounts for amorphous + several orientation of crystalline phases tracking mass concentration of each phase
-Phase transformation is thermodynamically driven Electric Gibbs free energy for one component,
-Stress and electric displacement are that of the volume average of components ,
-Weak (integral) formulation based on generaized principle of virtual work
peFFF
1 210 EEyεεCεEe iii 2
1
2
1iiG
ii
i
iii
i
V
VSSS
ii
i
iii
i
V
VDDD
i
iiGG
00
0`: 0101001 B B nnB not
dSdVdV ηtηfηP 000
01001 B nB n dSqdV ξξD
Full-Field Coupled Electromechanical
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Macroscale simulation: version
Initial conditionNon-polar
Load
Mechanically driven non-polar (T3G) to polar (all-trans) transformation
ALLOWS FOR ARBITRARY SHAPES AND GENERAL
ELECTROMECHANICAL BC IN 2D and 3D
Complex nucleation of polar phase
Undeformed Deformed
(T3G)
(all-trans)
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Macroscale simulation: StressBlue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region
Normal stress along chains
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Macroscale simulation: StressBlue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region
Normal stress perpendicular to chains
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Macroscale simulation: StressBlue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region
Shear
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Macroscale simulation:Electric Displacement
Blue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region
Along the Chains
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Blue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region
Normal to the Chains
Macroscale simulation:Electric Displacement
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Macroscale simulation: Electric Potential
Blue (0) = T3G Red (1) = All Trans
(T3G) (all-trans)
Transformed Region