View
3.060
Download
5
Category
Preview:
Citation preview
New Functions and Enhancements in V6.11E
March 2011
Overview
Abaqus/CAE
Abaqus/Standard
Abaqus/Explicit
Abaqus/CFD
2
New functions and enhancements
Abaqus/CAE
6.11 Enhancements
Modeling & CAD Interfaces
Meshing
Attributes & Analysis Support
Predefined Field Support
Topology and Shape Optimization
Visualization
Modeling & CAD Interfaces
• CATIA V5 Bidirectional Associative Interface
• CATIA parameters can be modified from Abaqus/CAE
• Model updated automatically
• Support for CATIA V5 R20
6
CAD Interfaces
CAD geometry and parameters
export to Abaqus/CAE
Updated parameters
export to CATIA V5
Substructures
7
• 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
• Enhanced spline feature
• Create spline wires through points
• Define using table or import points from file
• Option to create sets
8
Modeling
Meshing
• 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
Partitioning
• 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
Mid-surfacing enhancements
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
• 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
Mesh Editing
• 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
Miscellaneous Meshing
Attributes & Analysis Support
Mapping Capability
• Interface for:
• Importing spatially varying point cloud field data
• Applying data sets as loads, predefined fields and interactions
• Examples:
• Pressure, temperature and
film coefficients
• Shell thickness, density
• Permits mapping for scalar values
• Mapping options & controls
• Default value, algorithm, search tolerance
• Visualization tools planned
Mapping Capability
• Import data using
• Text files & spreadsheets
• Existing Abaqus output database
• Set field output, frame, results options
• Viewport snapshot
• Use with clients
• Apply scale
• Data formats
• X, Y, Z, value
• Grid
Mapped Field Clients
Shell SectionsElement and Nodal Thickness
Homogeneous, Composite Shell sections
Conventional Shell Composite Layups
Loads -- Pressure
Predefined FieldsTemperature, Pore Pressure, Void Ratio, Saturation
InteractionsSurface Film Condition, Concentrated Film Condition
Film and Sink Temperature values
Surface Radiation
Materials -- Density
• 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.
19
Assembled Fasteners
3 plate template model
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
32
ATOM is a new module in Abaqus/CAE
Specify problem
Modify .inp file
Standard
Postprocess
Final Solution ?
No
Visualize Smooth output
Export to CAD
Write .inp file
Shape or Topology
Optimization
components
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
35
Visualization
• FBD enhancements
• Section force/moment display on multiple view cuts
• Multiple free bodies on a single view cut
36
Visualization
• Multi-point constraints visualization
• Display probed node/element labels and values
• Particle (PC3D) elements display
37
Visualization
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
Serial cavity radiation: 4 minutes(v6.11 , 8 cpu)
Parallel cavity radiation: 33 seconds (v6.11, 8 cpu)
Example problem: exhaust manifold (4,500 facets)
8x speed-up
Parallel Cavity Radiation
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.
Very large cavities
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 ElementsQuarter-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 / thermo-
mechanical 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 fieldMagnetic induction in vertical direction compared against that of
benchmark results
Sample Results
Multiple conductors in uniform oscillating magnetic
fieldTime-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 (curling) electric fields
In phase and out of phase electric field magnitudes
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.
Magnetic FieldElectric Field
Conducting infinite cylinder in a uniform time harmonic
magnetic field
Conductor
Surface current is applied on the outer surface
Magnetic Field
Electric FieldElectric Field
AMS Solver
AMS Performance Improvements
60
4.3M DOF Powertrain Model:
4500Hz cutoff frequency, 1709 modes, selective recovery (167,618 dofs)
on Intel Nehalem-EX with128GB memory
0
500
1,000
1,500
2,000
2,500
3,000
3,500
1 4 8 16
Elap
sed
Tim
e (
sec.
)
Number of Cores
FREQ (6.10-EF)
AMS (6.10-EF)
FREQ (6.11)
AMS (6.11)
AMS Performance Improvements
61
4.3M DOF Powertrain Model:
4500Hz cutoff frequency, 1709 modes, selective recovery (167,618 dofs)
on Intel Nehalem-EX with128GB memory
0.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
9.00
10.00
1 4 8 16
Spe
ed
up
Number of Cores
FREQ (6.10-EF)
AMS (6.10-EF)
FREQ (6.11)
AMS (6.11)
AMS Performance Improvements
62
Neon 2M DOF Vehicle Body Model:
600Hz cutoff frequency, 3064 eigenmodes, selective recovery, 2000
residual vectors on Intel Nehalem-EP with 32GB memory
74
5861
70
55 58
47
2014
44
1711
0
10
20
30
40
50
60
70
80
1 4 8
Elap
sed
Tim
e (
min
.)
Number of Cores
FREQ (6.10-EF)
AMS (6.10-EF)
FREQ (6.11)
AMS (6.11)
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
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
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
4.00
4 c
ore
/ (
4 c
ore
+ g
pu
)
GPGPU speedup (4 core / (4 core + gpu))
Contact
Contact stress error indicators
Provide some perspective on accuracy of contact stresses
Hertz contact example
Analytical solution
Abaqussolutions
Error indicators
Maximum contact pressure
Position
Pre
ssu
re Maximum error
indicator
• 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
• Points to remember for error indicators:
Contact stress error indicators
Recall improvements for 2nd-order elements in 6.10EF
Less noise
Less noise
Prior versions
6.10EF & 6.11
Prior versions
6.10EF & 6.10
Error indicator
6.11
Error indicator
6.11
• Accurate prediction of maximum CPRESS• Some uncertainty where gradient is large but
pressure is low
• Need finer mesh to predict maximum contact pressure
Contact stress error
indicatorsTwo deformable blocks
Error indicator does not show evidence of inaccuracy if mesh is too coarse!
p=1
p=1
Edge effects evident after mesh refinement
One element per block
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 formulationGeneral contact with S-to-S and
E-to-S formulations
• Future: add edge-to-edge formulation
• Diverges 25% into simulation • Penetration near feature edge• 36 increments; 317 iterations
• 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
81
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
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-EFHowever functionality not robust enough.
Analysis becomes unstable/shows unphysical behavior in the subcyclingzone
Energy balance not achieved when general contact is defined
Subcycling robustness improvements
Subcycling robustness improvements
No Subcycling 20 h 42 m (8 cpus)
Subcycling 9h 23 m (8 cpus)
Number of elements in subcycling zone = 29623in non-subcycling zone = 508977
Subcycling ratio = 6
Additional AQUA Wave types
AQUA Waves that generate loads on structures
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
Additional wave formulations in A/Explicit
SPH (Smoothed Particle Hydrodynamics)
in Abaqus/Explicit
Water Splash In a Square Pan
89
100 K particles, 53 particles/element
86 mins on a PC
5770 incs, MSPEI 8.6
Support is more local in this case as the number of
particles per element is almost the same
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
90
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
Wave Impact
A block of water falls under gravity (dam rupture)
Velocity vector plots on the left
91
220 K particles, 32 particles/element
140 hours (not sure which machine)
117K incs, MSPEI 20.2
Tabular EOS with tensile failure
Wave Impact
A block of water falls under gravity (dam rupture) Simplified boulders are being
Velocity vector plots on the left
92
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
Water Splashing of a Figurehead
A block of water hits an object
USUP EOS
53K particles
93
*eos, type=usup1500e+3,0,0*tensile failure,element deletion=no,pressure=ductile,shear=ductile2.0*viscosity1.0e-8*density1.e-9
Priming a Pump
94
182 K particles, ? particles/element
89 hours (not sure which machine)
150K incs, MSPEI 11
Tabular EOS with tensile failure
A block of water is pushed by a piston while the pump
is rotating
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)
96
8.2 K particles, 40 particles/element
90 mins (not sure which machine)
120K incs, MSPEI 6
Tabular EOS with tensile failure
Smashing of a Figurehead
With cohesive contact
97
53 K particles, 47 particles/element
90 mins (not sure which machine)
360K incs, MSPEI 6
Tabular EOS with tensile failure?
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 wall84K particles
Finger pattern develops and some particles fly offLikely 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
100
Stress contour plots match OK at various stages
during the analysis
Left: CEL
Center: C3D8R
Right: SPH
Taylor Test – reaction forces
101
C3D8R and CEL match well
All curves are unfiltered
Default options in all three cases
Garden hose: pressurization + spraying
Very high number of increments
Is the EBE DT excessively conservative?
102
27 K particles, 54 particles/element
2375K increments, 104 hours CPU time
MSPEI 5.3
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
103
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
Projectile Impact on Plate – fast bullet
Whole analysis shown on the left
Slower motion of the perforation shown on the right
104
V = 1000m/sec, T=0.2 msec
Bullet perforates
103 K particles, 44 particles/element
4K increments, 47mins, MSPEI 6.1
Performance – 3rd model
Taylor test: comparison with C3D8R and CELMaterial: 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.
105
Nr ofElements
Nr of nodes per element
DT stable MSPEI Nr of increments
Total CPU time
CEL 585K 8 2e-08 constant
3 to 4 3864 146:25 mins
C3D8R 78K 8 1.7e-8to1.2e-9
1.15 33188 49:28 mins
SPH_A 84K 39 8.2e-9constant
6.7 9783 93:35 mins
SPH_B 84K 17 6.8e-9constant
4.2 61:15 mins
SPH_B
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
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.
Documented Keywords
109
Abaqus/CFD - 6.11 Enhancements
Surface Output Variables
Surface Output Quantities
111
Abaqus/CFD - 6.11 Enhancements
Scalar Quantities Vector Quantities
Field History Field History
y+
(YPLUS)Also defined for laminar flows
Mass Flow Rate
(MASSFLOW)
Surface Traction vector
(STRACTION)
Int. Traction (Forces)
(FORCE)
Surface Output Variables
Wall Shear Stress
(WALLSHEAR)
Normal Heat Flux
(HFLN)
Volume Flow Rate
(VOLFLOW)
Int. Heat Flux
(HEATFLOW) Optional Output:
Pressure, viscous forces
( PRESSFORCE,
VISCFORCE)
Heat Flux vector
(HFL)
Total Traction vector
(TRACTION)
Normal Traction vector
(NTRACTION)
y*
(YSTAR)Defined only for “k”-family models
Area
(SURFAREA)
Average Temperature
(AVGTEMP)
Area Average Velocity
(AVGVEL)
Average Pressure
(AVGPRESS)
112
Abaqus/CFD - 6.11 Enhancements
Surface Output Examples
Wall shear stress contours Surface traction vectors superimposed on pressure contours
Aortic Aneurysm
Drag Force Lift Force
Velocity contours
Vortex Shedding behind a cylinder
Flow around a cylinder y+ plot
RNG k- model improvements
Abaqus/CFD - 6.11 Enhancements
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
Improved robustness – Time scale limiters
Temperature-dependent properties
Abaqus/CFD - 6.11 Enhancements
116
Temperature Dependent Viscosity
622.1780,,)( 2
9896.12
11
2
CeCeCT T
C
Channel with isothermal walls at 800 C and inlet fluid enters at a constant velocity and temperature of 200 C.
Improved co-simulation job submission
Abaqus/CFD - 6.11 Enhancements
Single command line job submissionNo 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
Improved co-simulation job submission
Example – Electronic Cooling
119
Application Examples
Application
• Thermal performance of electronic
components and systems
Motivation
• Miniaturization of devices,
superior performance,
higher reliability and lower
cost
Approach
• Full system structural and
thermal analysis in conjunction
with natural/forced convection
cooling
Chip
Chips
Heat Sink
Capacitors
PCBPower Source
• Non-linear system-level simulation
• Linear simulation – Shock & vibration, Linear dynamics
• Fracture & failure (Cohesive, XFEM)
• Advanced materials and elements
• Complete set up in Abaqus/CAE
• CFD volume mesh from structural model
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
• Conjugate heat transfer analysis
• Abaqus/Standard & Abaqus /CFD
Temperature contours
Temperature isosurfaces
Velocity vectors on intermediate plane
• Sequential thermal-stress analysis
• Abaqus/Standard
Mises Stress contours
Top 3
Abaqus/CAE
ATOM
Abaqus/Standard
Electromagnetics
Abaqus/Explicit
SPH
Abaqus/CFD
120
New Functions and Enhancements in V6.11E
March 2011
Recommended