New Functions and Enhancements in V6.11
E
March 2011
Overview New functions and enhancements
Abaqus/CAE
Abaqus/Standard Abaqus/Explicit Abaqus/CFD
2
Abaqus/CAE
6.11 Enhancements Modeling & CAD Interfaces Meshing Attributes & Analysis Support Predefined Field Support Topology and Shape Optimization Visualization
Modeling & CAD Interfaces
CAD Interfaces • CATIA V5 Bidirectional Associative Interface • CATIA parameters can be modified from Abaqus/CAE • Model updated automatically • Support for CATIA V5 R20
CAD geometry and parameters export to Abaqus/CAE
Updated parameters export to CATIA V5 6
Substructures •
Continuation of 6.10-EF project •
• • •
Support for: • Substructure load cases • Substructure load Improved display of retained nodal dofs Translucency control in part/assembly display options Substructure statistics query
7
Modeling • Enhanced spline feature • Create spline wires through points
• Define using table or import points from file • Option to create sets
8
Meshing
Partitioning • New tool for partitioning faces by edge projection • Option to extend edges at free ends • Elements don‟t cross boundaries between regions with different thickness
10
Mid-surfacing enhancements • Reduce picking needed to create mid-surface • Improved robustness
• Offset operation performance • Feature regeneration • Enhanced heuristics for Extend and Blend geometry tools • Thickness data propagates correctly with virtual topology
11
Tet meshing • • •
Minimum element size specification Tetrahedral element size growth control for interior volume Improved quality and robustness • Control deviation between boundary mesh and surface geometry • Reduced likelihood of creating short element edges • Better gradation on surface meshes
12
Mesh Editing • New mesh edit functions • Merge/subdivide elements • Grow/collapse short element edges
• Bottom-up meshing • Now available for orphan meshes • Generate elements by offsetting • Additional options for extrude method
13
Miscellaneous Meshing • XFEM support 2nd order tetrahedral elements • Visualization support
• Performance improvements • Support global reservoir modeling workflows • Support for new coupled displacement-pore pressure elements (C3D4P & C3D6P)
14
Attributes & Analysis Support
Mapping Capability •
Interface for: • Importing spatially varying point cloud field data • Applying data sets as loads, predefined fields and interactions •
• •
Permits mapping for scalar values Mapping options & controls •
•
Examples: • Pressure, temperature and film coefficients • Shell thickness, density
Default value, algorithm, search tolerance
Visualization tools planned
Mapping Capability •
Import data using • Text files & spreadsheets • Existing Abaqus output database • •
•
Use with clients •
•
Set field output, frame, results options Viewport snapshot Apply scale
Data formats • X, Y, Z, value • Grid
Mapped Field Clients Shell Sections Element and Nodal Thickness Homogeneous, Composite Shell sections Conventional Shell Composite Layups
Loads -- Pressure Predefined Fields Temperature, Pore Pressure, Void Ratio, Saturation
Interactions Surface Film Condition, Concentrated Film Condition Film and Sink Temperature values
Surface Radiation
Materials -- Density
Assembled Fasteners • Capabilities for realistic modeling of fasteners • Create Template model • Separate from actual analysis model. • Contains surfaces, constraints and connectors
• Assign to a region • Attachment points, orientations, and surfaces specified to create an “assembled fastener”. • Allows specification of a calibration script.
3 plate template model
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Predefined Field Support
Predefined Field Support Added support for existing Initial Condition keywords as predefined fields: *INITIAL CONDITIONS, TYPE=STRESS *INITIAL CONDITIONS, TYPE=STRESS, GEOSTATIC *INITIAL CONDITIONS, TYPE=PORE PRESSURE *INITIAL CONDITIONS, TYPE=RATIO *INITIAL CONDITIONS, TYPE=SATURATION
Stress Predefined Field Supports Direct Specification and From File (ODB) Depending on the type of region selected the data table for stress component will change:
Geostatic Stress Predefined Field
Pore Pressure Predefined Field • Can be defined using a Uniform magnitude, From File, User defined and Expression, Mapped and Discrete fields
• Supports constant or linear pressure distributions
Void Ratio Predefined Field • Can be defined using a Uniform magnitude, From File, User defined and Expression, Mapped and Discrete fields • Supports constant or linear void ratio distributions • Supports different distributions for each supplied ratio.
Saturation Predefined Field • Can be defined using a Uniform magnitude, or Expression, Mapped and Discrete fields
Miscellaneous Enhancements (Abaqus/CFD) Distributions for Velocity on Inlet/Outlet and Wall Condition BCs Support for analytical fields – Values are calculated using a simplified integration scheme at element nodes to determine final value for each element Enabled Keyword editor for CFD Models
Miscellaneous Enhancements Added support for Expression, Mapped and Discrete Fields for Material Density Write amplitudes with 16 digits of precision to input files
Miscellaneous Enhancements Added Expression, Mapped and Discrete field support for Film condition sink temperatures Surface and Concentrated Film Conditions Can be used with Embedded Coefficients, Property, Analytical or Discrete field definitions of the film condition
Topology and Shape Optimization
Topology and Shape Optimization (ATOM) •
•
•
Topology optimization • Modify stiffness • Good for evolving optimum shape Shape optimization • Moves nodes • Good for fine tweaking of shape
Both support: Contact Geometric non-linearity Nonlinear materials Export smoothed shape to STL or INP
31
Optimization Workflow Specify problem
Write .inp file
Modify .inp file
Standard No Postprocess
Shape or Topology Optimization components
Final Solution ?
Visualize
Smooth output
Export to CAD
ATOM is a new module in Abaqus/CAE 32
Visualization
Visualization • Contour plots on beam sections • Available for Box, Rectangle, Circle, Pipe, I and L sections
• New „BEAM_STRESS‟ field output variable • SF and SM required • View cuts enabled with beam profile rendering
34
Visualization • FBD enhancements • Section force/moment history output
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Visualization • FBD enhancements • Section force/moment display on multiple view cuts
• Multiple free bodies on a single view cut
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Visualization • Multi-point constraints visualization • Display probed node/element labels and values
• Particle (PC3D) elements display
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Abaqus/Standard
6.11 Enhancements Parallel Cavity Radiation XFEM V – Fracture and Failure Enhancements Coupled Electrical-Thermal-Structural Analysis (ETS) Electromagnetics I - Low frequency (Eddy current) AMS Solver GPGPU support in the direct solver Contact
Parallel Cavity Radiation
Parallel Cavity Radiation Goals: Enable cavities larger than v6.10-EF limit 16,000 facets Provide a parallel and scalable cavity radiation feature
Approach: Solve same equations as old serial code (gray, diffuse, surface radiation) Avoid inversion of large matrix by solving problem with iterative solver (New algorithm - only available in 64-bit platforms)
Parallel Cavity Radiation Example problem: exhaust manifold (4,500 facets)
Serial cavity radiation: 4 minutes(v6.11 , 8 cpu) Parallel cavity radiation: 33 seconds (v6.11, 8 cpu) 8x speed-up
Parallel Cavity Radiation Very large cavities
Serial cavity radiation limit: 16,000 facets Limitation due to internal 2GB limit for element storage.
Largest cavity radiation run to date: 128,000 facets 128,000 facets ran in 128 cpus. Job completed in 63 iterations (38 minutes). In serial mode (if possible) would require 131GB on a single node to run.
XFEM V - Fracture & Failure Enhancements
XFEM Continued enhancements to XFEM: Functionality Support 2nd order tets (C3D10 and C3D10H) with XFEM Output strain energy release rate (ENRRTXFEM) for XFEM based LEFM approach Use cases/drivers 1st order tets and 1st order bricks with XFEM were supported since 6.9 Most real engineering structures in Auto, Aerospace and medical applications are made of 2nd order tetrahedron elements. Direct requests from Boeing, Daimler, Dana etc. Go mainstream with XFEM Crack path/surface is more stable with 2nd order tet elements Usage No user interface changed Can be performed in a static procedure, implicit dynamic procedure and the low cycle fatigue analysis.
XFEM – Quadratic Tets
Coupled Electrical-Thermal-Structural Procedure (ETS)
ETS Overview Fully coupled three-field analysis with the following fields Electrical Potential (Steady-State) Temperature (Transient or Steady-State) Displacement (Steady-State) Three-dimensional continuum elements Q3D4 4-node tetrahedron, linear displacement, electric potential, and temperature. Q3D6 6-node triangular prism, linear displacement, electric potential, and temperature. Q3D8(RH) 8-node hexahedral, tri-linear displacement, electric potential, and temperature. Q3D10M(H) 10-node tetrahedron, modified displacement, electric potential, and temperature. Q3D20(RH) 20-node hexahedral, tri-quadratic displacement, tri-linear electric potential, and temperature. New keyword interface *COUPLED
TEMPERATURE-DISPLACEMENT, ELECTRICAL
Spot Weld Example
Q3D8 Elements Quarter-symmetry model
Spot Weld Example, cont
Electromagnetics I Low frequency (Eddy current)
Low Frequency Time-Harmonic Procedure Time-Harmonic response for a given cyclic current excitation Same as direct steady state dynamic procedure in structures Compute EM wave response in both air and conducting media Use cases/drivers EM Time-harmonic followed by thermal / mechanical / thermomechanical analyses by transferring results (applications: EM induction heating and/or forming)
Theory Neglect high frequency term
Sample Results Long annular cylinder in an oscillating uniform magnetic field Magnetic induction in vertical direction compared against that of benchmark results
Sample Results Multiple conductors in uniform oscillating magnetic field Time-harmonic electric field in air and conductors Time-harmonic magnetic induction (flux density) in conductors
Electric field
Magnetic induction
Sample Results Eddy fields in a spherical conductor sitting inside a magnetic field In phase and out of phase electric field magnitudes
In phase and out of phase (curling) electric fields
Magnetic Field in a Straight Conductor
Current flow to z direction in the conductor
Magnetic Field of Two Straight Conductors
Current direction is the same in the two conductors. Zero D EM Potential is applied on the outer surfaces.
Electric Field Magnetic Field
Conducting infinite cylinder in a uniform time harmonic magnetic field Surface current is applied on the outer surface
Conductor
Magnetic Field
Electric Field
Electric Field
AMS Solver
AMS Performance Improvements 4.3M DOF Powertrain Model: 4500Hz cutoff frequency, 1709 modes, selective recovery (167,618 dofs) on Intel Nehalem-EX with128GB memory 3,500
Elapsed Time (sec.)
3,000
2,500
2,000 FREQ (6.10-EF) AMS (6.10-EF)
1,500
FREQ (6.11)
AMS (6.11)
1,000
500
0 1
4
8
16
Number of Cores
60
AMS Performance Improvements 4.3M DOF Powertrain Model: 4500Hz cutoff frequency, 1709 modes, selective recovery (167,618 dofs) on Intel Nehalem-EX with128GB memory 10.00 9.00 8.00
Speedup
7.00 6.00 FREQ (6.10-EF)
5.00
AMS (6.10-EF) 4.00
FREQ (6.11) AMS (6.11)
3.00 2.00 1.00 0.00 1
4
8
16
Number of Cores
61
AMS Performance Improvements Neon 2M DOF Vehicle Body Model: 600Hz cutoff frequency, 3064 eigenmodes, selective recovery, 2000 residual vectors on Intel Nehalem-EP with 32GB memory 80
Elapsed Time (min.)
70 60 50 FREQ (6.10-EF)
40 74
AMS (6.10-EF)
70
30
58 47
20
61
55
FREQ (6.11)
58
AMS (6.11)
44
10
20
17
14
11
0 1
4
8
Number of Cores
62
GPGPU Accelerated Direct Solver
Performance targets and required hardware The basic target was to achieve an overall speedup for Abaqus/Standard (standard.exe wall time) of 2x versus a 4 core cpu only time for our benchmark model s4b. Requires compute specific GPGPU NVIDIA Tesla C2050, C2070 GPU Computing Processor Support for compute cards from AMD is expected by release. The solver can be run on lesser cards, but performance expectations must be reduced
Optimal performance requires the factorization to remain in core
Performance data GPGPU speedup (4 core / (4 core + gpu)) 4.00
3.50
4 core / (4 core + gpu)
3.00
2.50
2.00
1.50
1.00
0.50
0.00
4.34E+11 4.45E+11 6.59E+11 9.90E+11 1.91E+12 2.19E+12 4.37E+12 5.76E+12 1.03E+13 1.68E+13 1.70E+13 2.63E+13 1.08E+14
Solver
1.83
1.37
1.69
1.82
2.32
2.15
2.20
2.75
2.90
3.38
3.69
3.36
1.96
Standard
1.14
1.02
1.16
0.83
1.52
1.52
1.49
2.19
2.01
2.00
2.29
2.66
1.79
Contact
Contact stress error indicators Provide some perspective on accuracy of contact stresses Hertz contact example Maximum contact pressure
Pressure
Analytical solution
Abaqus solutions
Maximum error indicator
Error indicators
• Points to remember for Position error indicators: • Tend to be large where local variation of base variable is more complex than what can be captured by the mesh • Not normalized; same units as base variable • Not conservative or precise estimates of error
Contact stress error indicators Recall improvements for 2nd-order elements in 6.10EF Prior versions
6.10EF & 6.11
Less noise
6.11
Error indicator • Accurate prediction of maximum CPRESS • Some uncertainty where gradient is large but pressure is low 6.10EF & 6.10
Prior versions
Less noise
6.11
Error indicator • Need finer mesh to predict maximum contact pressure
Contact stress error indicators Two deformable blocks p=1
One element per block
Error indicator does not show evidence of inaccuracy if mesh is too coarse!
p=1
Edge effects evident after mesh refinement
Edge-to-surface contact Supplementary edge-to-surface formulation for general contact Targets situations in which the active contact zone in a numerical model corresponds to a line associated with a feature edge Whereas the surface-to-surface formulation best treats contact over a finite area General contact with S-to-S formulation
• Diverges 25% into simulation • Penetration near feature edge • 36 increments; 317 iterations
• Future: add edge-to-edge formulation
General contact with S-to-S and E-to-S formulations
• Runs to completion • Good resolution of contact • 28 increments; 130 iterations
Edge-to-surface contact Tests featuring edge contact
Two views of same analysis
Abaqus/Explicit
6.11 Enhancements Eulerian Heat Transfer Element Mass Adjust Subcycling improvements Additional AQUA Wave types SPH
Eulerian Heat Transfer Element
Eulerian Heat Transfer Element
New Element Type: EC3D8RT 8-node thermally coupled linear multi-material Eulerian brick Active degrees of freedom 1,2,3,11 Temperature calculated as part of the fully-coupled problem
Procedure: *Dynamic Temperature-Displacement, Explicit Mechanical loads valid for EC3D8R also supported for EC3D8RT Thermal loads that are supported: *Dflux, *Film, *Radiate *Dsflux, *Sfilm, *Sradiate
Eulerian Heat Transfer Element Example 1: Deep indentation problem (white area is initially void ) temperature is fixed at the bottom; the heat source is the plastic dissipation ran with 2 cpus and 4 domains
Eulerian Heat Transfer Element
Example 2: Eulerian heat transfer in a progressively filled block Material flows in at 100, Film condition on the lefts side (1st step); additional film condition at the top in the 2nd step
Eulerian Heat Transfer Element
Example 3: Rivet Forming –changed existing example problem to use EC3D8RT instead of EC3D8R in a *Dynamic Temperature-Displacement analysis Initial temperature at 20, will increase due to plastic work effects Run with 8 cpus and 16 domains
Mass Adjust Specify a target mass with optional target time increment
*MASS ADJUST You can specify a target mass or a “trim level” for an ELSET. Abaqus/Explicit will adjust the mass up or down to meet the target. You can further redistribute the mass within the ELSET to raise the stable time increment to a target value.
You can even redistribute just the “current” mass to achieve the target time increment without adding extra pounds!!!
Verification 1. Verify specified mass: test and reference elements have different densities but the element set masses are adjusted to be the same. The dynamic responses are therefore similar.
Test
Reference 81
Subcycling improvements
Subcycling robustness improvements Allows different time increments to be used for different groups of elements Reduces run time for an analysis when a small region of elements (subcycling zone) in the model controls the stable time increment Keyword Interface to define a subcycling zone *SUBCYCLING, ELSET=element_set_name Subcycling feature available in Abaqus/Explicit version v6.8-EF However functionality not robust enough. Analysis becomes unstable/shows unphysical behavior in the subcycling zone Energy balance not achieved when general contact is defined
Subcycling robustness improvements
Subcycling robustness improvements Number of elements in subcycling zone = 29623 in non-subcycling zone = 508977
Subcycling ratio = 6
No Subcycling
20 h 42 m (8 cpus)
Subcycling
9h 23 m (8 cpus)
Additional AQUA Wave types
AQUA Waves that generate loads on structures Additional wave formulations in A/Explicit
Waves acting on structures generate loads such as buoyancy, drag, and inertial loads. For A/Explicit rel6-10ef, the wave definition was limited to only the 5th Order Stokes wave formulation. For A/Explicit 6.11, You could also use the Airy wave formulation or provide a more general definition through VWAVE user-subroutine.
87
SPH (Smoothed Particle Hydrodynamics) in Abaqus/Explicit
Water Splash In a Square Pan Support is more local in this case as the number of particles per element is almost the same
100 K particles, 53 particles/element 86 mins on a PC 5770 incs, MSPEI 8.6 89
Bird Fan Blade Slashing A cylindrical bird strikes an initially straight edge of a rotating turbofan blade The blade deforms and the bird disintegrates Contour plots of pressure shown
4.2 K particles 47 to10 particles/element 0:47 mins on a PC 2200 incs, MSPEI 5.6 EOS material with tensile failure Elasto-plastic blade
90
Wave Impact A block of water falls under gravity (dam rupture) Velocity vector plots on the left
220 K particles, 32 particles/element 140 hours (not sure which machine) 117K incs, MSPEI 20.2 Tabular EOS with tensile failure
91
Wave Impact A block of water falls under gravity (dam rupture) Simplified boulders are being Velocity vector plots on the left
220 K particles, 32 particles/element 140 hours (on storm) 117K incs, MSPEI 14 (before the latest improvement); expect 7 Tabular EOS with tensile failure
92
Water Splashing of a Figurehead A block of water hits an object USUP EOS 53K particles
93
*eos, type=usup 1500e+3,0,0 *tensile failure,element deletion=no,pressure=ductile,shear=ductile 2.0 *viscosity 1.0e-8 *density 1.e-9
Priming a Pump A block of water is pushed by a piston while the pump is rotating
182 K particles, ? particles/element 89 hours (not sure which machine) 150K incs, MSPEI 11 Tabular EOS with tensile failure
94
Bottle Drop A filled water bottle gets dropped on the floor Comparison with CEL Differences in sloshing Similar deformed shapes for the plastic bottle
95
12 K particles CEL: 2h52m; SPH: 1h48m
Smashing of a Figurehead Figurehead with initial velocities is smashed into a wall Tooth paste like material (from our example manual)
8.2 K particles, 40 particles/element 90 mins (not sure which machine) 120K incs, MSPEI 6 Tabular EOS with tensile failure
96
Smashing of a Figurehead With cohesive contact
53 K particles, 47 particles/element 90 mins (not sure which machine) 360K incs, MSPEI 6 Tabular EOS with tensile failure?
97
Ball Drop in Water Tank A relatively light ball falls into a tank of water SPH vs CEL Initial velocity Hard to tell what‟s going on in SPH
98
Taylor Test A perfectly plastic cylindrical copper bar is impacting a rigid wall 84K particles
Finger pattern develops and some particles fly off Likely due to the mesh being non-uniform to start with Tensile instability could also be the issue
99
Taylor Test – comparison with CEL and C3D8R Stress contour plots match OK at various stages during the analysis
Left: CEL Center: C3D8R Right: SPH
100
Taylor Test – reaction forces
C3D8R and CEL match well All curves are unfiltered Default options in all three cases
101
Garden hose: pressurization + spraying Very high number of increments Is the EBE DT excessively conservative?
27 K particles, 54 particles/element 2375K increments, 104 hours CPU time MSPEI 5.3
102
Projectile Impact on Plate – slow bullet A cylindrical rigid projectile impacts a steel plate Properties: rate dependent hardening + damage initiation (ductile and shear) with energy based evolution Friction 0.3 between the bullet and the plate
The circular particle patch in the center is TIE-ed to the FE plate
V = 500m/sec, T=0.5 msec Bullet gets stuck in the hole 103 K particles, 44 particles/element 9K increments, 1h48mins, MSPEI 6.3
103
Projectile Impact on Plate – fast bullet Whole analysis shown on the left Slower motion of the perforation shown on the right
V = 1000m/sec, T=0.2 msec Bullet perforates 103 K particles, 44 particles/element 4K increments, 47mins, MSPEI 6.1
104
Performance – 3rd model Taylor test: comparison with C3D8R and CEL Material: Perfectly plastic copper, no damage All analyses ran using 1 CPU on a lnx86_64 v6Intel machine (gladius) Old results: for this size model the SPH analyses are probably 30% faster. Nr of Elements
Nr of nodes per element
DT stable
MSPEI
Nr of increment s
Total CPU time
CEL
585K
8
2e-08 constant
3 to 4
3864
146:25 mins
C3D8R
78K
8
1.7e-8 to 1.2e-9
1.15
33188
49:28 mins
SPH_A
84K
39
8.2e-9 constant
6.7
9783
93:35 mins
SPH_B
84K
17
6.8e-9 constant
4.2
SPH_B 105
61:15 mins
Abaqus/CFD
Overview of Enhancements in 6-11 Keyword support and documentation Surface output variables RNG k- model improvements Improved robustness “Resolution-insensitive” wall functions
Temperature-dependent properties Improved co-simulation job submission
Keyword support and documentation
Abaqus/CFD - 6.11 Enhancements Documented Keywords
Input file usage with documented keywords are provided in 6-11. For example, *CFD *Momentum Equation Solver *Transport Equation Solver *Pressure Equation Solver *Turbulence Model *Fluid Boundary
*Surface Output
The required and optional parameters for all keywords are documented in 6-11 Abaqus Keywords Reference Manual.
109
Surface Output Variables
Abaqus/CFD - 6.11 Enhancements Surface Output Quantities Surface Output Variables
Scalar Quantities
Field
Vector Quantities
History y+ (YPLUS)
Field Mass Flow Rate (MASSFLOW)
History Total Traction vector (TRACTION)
Also defined for laminar flows
y* (YSTAR) Defined only for “k”-family models
Wall Shear Stress (WALLSHEAR) Normal Heat Flux (HFLN)
Int. Traction (Forces) (FORCE)
Volume Flow Rate (VOLFLOW) Int. Heat Flux (HEATFLOW) Area (SURFAREA) Average Temperature (AVGTEMP) Area Average Velocity (AVGVEL) Average Pressure (AVGPRESS)
Surface Traction vector (STRACTION)
Normal Traction vector (NTRACTION)
Heat Flux vector (HFL)
111
Optional Output: Pressure, viscous forces
( PRESSFORCE, VISCFORCE)
Abaqus/CFD - 6.11 Enhancements Surface Output Examples Aortic Aneurysm
Flow around a cylinder y+ plot
Wall shear stress contours
Surface traction vectors superimposed on pressure contours
Vortex Shedding behind a cylinder Velocity contours
Drag Force
Lift Force
112
RNG k- model improvements
Abaqus/CFD - 6.11 Enhancements Improved robustness – Time scale limiters
k- model is subject to spurious overproduction of k in highly strained flows („stagnation point anomaly‟) Based on experimental evidence in shear layers and on mathematical grounds, the turbulent eddy viscosity is limited using an upper bound This method has shown to significantly improve the stability of the k- model for highly strained flows
114
Temperature-dependent properties
Abaqus/CFD - 6.11 Enhancements Temperature Dependent Viscosity
C2 T
(T ) C1e , C1 e 12.9896, C2 1780.622
Channel with isothermal walls at 800 C and inlet fluid enters at a constant velocity and temperature of 200 C.
116
Improved co-simulation job submission
Abaqus/CFD - 6.11 Enhancements Improved co-simulation job submission
Single command line job submission No port numbers necessary abaqus -cosimulation cosim_job -job cfd_job,std_job -cpus 8,2
Queue submission of co-simulation jobs Without restart abaqus -cosimulation cosim_job -job cfd_job,std_job -cpus 8,2 -queue general_mem5_wall60 With restart abaqus -cosimulation cosim_job -job cfd_job,std_job -oldjob cfd_job_old,std_job_old – cpus 8,2 -queue general_mem5_wall60
Higher cpu assignment flexibility : specification of cpu ratio Specification of cpu ratio abaqus -cosimulation cosim_job -job cfd_job,std_job –cpus 10 –cpuratios 0.8,0.2 -queue general_mem5_wall60
118
Application Examples Example – Electronic Cooling • • • •
Non-linear system-level simulation Linear simulation – Shock & vibration, Linear dynamics Fracture & failure (Cohesive, XFEM) Advanced materials and elements PCB Power Source Chips
Application •
Heat Sink
Motivation
•
•
Complete set up in Abaqus/CAE CFD volume mesh from structural model
Miniaturization of devices, superior performance, higher reliability and lower cost
Temperature isosurfaces
Full system structural and thermal analysis in conjunction with natural/forced convection cooling • •
Conjugate heat transfer analysis Abaqus/Standard & Abaqus /CFD
Extract skin using Shell From Solid feature Remove faces and cover open faces to create a closed enclosure Create volume using Solid From Shell feature and mesh the volume
Sequential thermal-stress analysis Abaqus/Standard
Approach
Chip • •
Thermal performance of electronic components and systems •
•
Capacitors
Mises Stress contours
Velocity vectors on intermediate plane
Temperature contours
119
Top 3
Abaqus/CAE ATOM
Abaqus/Standard Electromagnetics
Abaqus/Explicit SPH
Abaqus/CFD
120
New Functions and Enhancements in V6.11
E
March 2011
