Forming Simulation using Rigid-Plastic Material Model in...
Transcript of Forming Simulation using Rigid-Plastic Material Model in...
MSC Software Confidential MSC Software Confidential
Forming Simulation using Rigid-Plastic
Material Model in Marc 2013 America User Conference
Gary Huang – Simufact-Americas LLC
May 7, 2013
Hendrik Schafstall – Simufact, Germany
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• Simufact – company introduction
• What is rigid-plastic material model?
• Why and how do we use the rigid-plastic material model?
• Examples
• Conclusions
Contents
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Simufact: Company and Products
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Hamburg
Balv
e Kassel
Marbur
g
• The company:
– Simufact Engineering GmbH, Hamburg, Germany
– MSC partner for 18 years
• The products:
– The three products are interconnected
– Simulation of process chain possible
– Using MSC Marc and Dytran as FEM and FVM
solvers
– Using JMatPro to compute material properties and
phase transformation data
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Simufact: Company and Products
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• The applications:
– Cold and hot forging
– Bulk sheet forming
– Rolling, extrusion and cogging
– Welding
– Mechanical joining – riveting
– Heat treatment
– more
• The users:
– Many hundreds of companies
worldwide
– Including Daimler, Airbus, SMS
meer, GKN, Honda, Toyota,
Schuler …
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Simufact: Company and Products
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• Simulation of process chain – from welding to sheet forming (using Marc)
Simufact.welding Simufact.forming
welding drawing
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Simufact: Company and Products
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• Simulation of process chain – from sheet forming to welding (using Marc)
Simufact.forming Simufact.welding
drawing trimming welding
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Simufact: Company and Products
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• Simulation of process chain – predicting material properties (using Marc and JMatPro)
Martensite built-up after welding Flow stress comparison
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Simufact: Company and Products
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• Simulation of process chain – predicting material properties
Bending test comparison after welding –
with phase transformation and without
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Simufact: Company and Products
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• Forming Application – Roll forming (using Marc) with 89 rollers
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Simufact: Company and Products
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• Welding Application (Marc) – Transportation Part from Alstorm
– 582 weld paths
– 202 cooling steps
– 300,000+ elements
– Parallel simulation with 9 domains
– More than 2 weeks of simulation time
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Using Rigid-plastic Material Model
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• Why?
– Possibility to speed up simulation
– Allow larger model size
– A complement to Finite volume method and
Elastic-plastic FEM
Two side-by-side connecting
rods simulated by rigid-plastic
material model in Marc
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Understand rigid-plastic material model
• Elastic-plastic (EP) material
– Elastic effect cannot be ignored
– Young’s modulus plays an important role
– Poisson ratio < 0.5
– Material is compressible in the elastic
region
• Rigid-plastic (RP) material
– Elastic effect can be ignored
– Young’s modulus (infinity) is not
important
– Poisson ratio = 0.5
– Material is incompressible
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EP
RP
σ
σ
ε
ε
ε= 𝜀𝑒 + 𝜀𝑝
ε= 𝜀𝑝
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Understand rigid-plastic material model
• Elastic-plastic (EP) material
– Yield surface exists
– Stress state is on yield surface when
material deforms plastically
– Complex constitutive equation
• Rigid-plastic (RP) material
– No yield surface
– Material deforms when effective plastic
strain-rate exceeds a cut-off value 𝜀 0
– Simple constitutive equation (Levy-
Mises)
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RP
σ
ε
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Understand rigid-plastic material model
• Elastic-plastic (EP) material based FEM
– Iterations required at the integration
points for radial return mapping
– Storage needed for elastic data
– Extra operations to compute constitutive
matrix
• Rigid-plastic (RP) material based FEM
– No iterations required at the integration
points
– Simple operations to compute stress
tensor
– Less storage required
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𝑅𝑎𝑑𝑖𝑎𝑙 𝑅𝑒𝑡𝑢𝑟𝑛 𝑀𝑎𝑝𝑝𝑖𝑛𝑔 𝑓𝑜𝑟 𝐸𝑃
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Understand rigid-plastic material model
• Applications based RP FEM
– Metal Forming with large deformation
– Closed-die hot forging
– Glass forming
– Superplastic forming
• Applications not suitable for RP FEM
– Spring-back analysis - bending
– Residual stress
– Loading and unloading analysis
– Cold metal forming
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𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑖𝑛𝑔 𝑟𝑜𝑑 𝑓𝑜𝑟𝑚𝑖𝑛𝑔 𝑢𝑠𝑖𝑛𝑔 𝑅𝑃
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Rigid-plastic material model in Marc
• Model section - ISOTROPIC
– Use RIGID
– No Young’s modulus and Poisson ratio
– Flow stress curve required
• Model and History - PARAMETER
– Incompressibility penalty number
– Initial strain rate
– Cut-off strain rate
– Proper setting of these parameters are
important for convergence
The cut-off value 𝜀 0 is used so that when
𝜀 < 𝜀 0, Marc program sets 𝜀 = 𝜀 0 to avoid
numerical difficulties.
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Mentat menu to support 𝑅𝑃
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Rigid-plastic material model in Marc
• Simple uniaxial compression with thermal coupling
– Fixed time steps
– Temperature difference: RP(152-154), EP(150-152)
– Eff. Plastic strain: RP(0.70), EP(0.69)
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• RP model
• Wall Time: 34 sec.
• Elements: 3824
• Element storage: 21 Mb
• EP model
• Wall Time: 43 sec.
• Elements: 3824
• Element storage: 29 Mb
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Rigid-plastic material model in Marc
• Simple cylinder compression with friction
– 100 fixed increments
– Thermal-mechanical coupling
– Global remeshing
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• RP model
• Elements: 6570-10828
• Wall Time: 363 sec.
• Eff. Plastic strain: 0.03-1.23
• Temperature: 646-1016
• Punch force: 3.349E5
• EP model
• Elements: 6570-9333
• Wall Time: 958 sec.
• Eff. Plastic strain: 0.04-1.02
• Temperature: 646-1013
• Punch force: 3.353E5
2.6 times
faster
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Rigid-plastic material model in Marc
• Simple cylinder compression with friction
– Itemized CPU time comparison (RP vs EP)
– Itemized memory allocation comparison
– Most of time saving is at the element level during the stiffness
assembly and stress recovery
– RP uses less element storage even with 1000 more elements
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2.6 times
faster
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Improving rigid-plastic FEM in Marc
• Difficulties in RP analysis in Marc
– What is the correct plastic strain rate cut-off value?
• Plastic strain rate cut-off value is used to decide if the material point is plastic
• Pre-selecting the correct cut-off value is tricky
• If the cut-off value is too large, we force most of the forming body to be plastic
• If the cut-off value is too small, we have ill-conditioned stiffness matrix and
difficulty in convergence
• Often analysis will not converge or results are incorrect
– Should cut-off value be used to compute total plastic strain?
• Initial plastic strain depends on the cut-off value?
• This is incorrect for some forming processes where the workpiece positions
itself before the large deformation happens
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Improving rigid-plastic FEM in Marc
• Improving RP analysis in Marc
– Compute cut-off value based on average plastic strain rate
• After 1st iteration compute average plastic strain rate over all RP elements
• Select cut-off value to be 1.0e-4*(average plastic strain rate)
• Compare with previous cut-off value
• If the difference is greater than 10 times, use the new cut-off value
– Do not compute total plastic strain based on cut-off value
• Plastic strain is computed based on the solution
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Incorrect plastic strain correct plastic strain
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Improving rigid-plastic FEM in Marc
• Improving RP analysis in Marc
– Average plastic strain changes in heading example
• Cut-off value is adjusted over the whole simulation
• In the beginning, cut-off value is very small when workpiece is mostly rigid
• Cut-off value is increased when more and more material becomes plastic
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Examples using rigid-plastic FEM in Marc
• Forming Examples – Gear Forging (3 domains parallel )
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• RP effective plastic strain
• Wall time 2545 seconds
• Elements 10,000 – 27,000
• EP effective plastic strain
• Wall time 4285 seconds
• Elements 10,000 – 29,000
• Domain Re-decomposition
after remeshing
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Examples using rigid-plastic FEM in Marc
• Metal Forming Examples
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Wall time: 2662s Wall time: 1351s Wall time: 3041s
Wall time: 1587s Wall time: 5015s Wall time: 31766s
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Examples using rigid-plastic FEM in Marc
• Metal Forming Examples
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Wall time: 26607s Wall time: 2650s Wall time: 10576s
Wall time: 2011s Wall time: 3593s Wall time: 8052s
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Examples using rigid-plastic FEM in Marc
• Metal Forming Examples
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Wall time: 719s Wall time: 25143s
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Forming Simulation with RPFEM in Marc
• Conclusions
– Rigid-Plastic model in Marc helps speed up
simulation
– Allows more elements in the simulation
– The automatic computation of cut-off value
improves RP analysis
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