Insights into the Simulation of Failure of Ductile Plastics · 2017. 4. 25. · • Shear...
Transcript of Insights into the Simulation of Failure of Ductile Plastics · 2017. 4. 25. · • Shear...
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Insights into the Simulation of Failure of Ductile Plastics
M. Lobdell, B. Croop, and H. Lobo DatapointLabs Technical Center for Materials, USA automotive CAE Grand Challenge 2017 April 5–6, 2017
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Company Introduction
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Mission
We strengthen the materials core of manufacturing enterprises to facilitate their use of new materials, novel manufacturing processes, and simulation-based product development.
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Outline
Process • Use best in class test methods for properties • Apply candidate material models • Validate against high reliability complex experiments (DIC)
Presentation
• Identification of factors • Test methods used • Findings & observations • Impact on simulation
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Factors
• Non-linear elasticity • Deviatoric plastic strain occurs prior to yield Lobo& Hurtado (2006)
• No increase in volume strain prior to yield Lobo, Croop, &Roy (2013)
• Onset of volumetric straining at yield Lobo, Croop, &Roy (2013)
• Strain localization coincides with onset of volumetric straining • Yield surface is not von Mises • Volumetric and deviatoric behavior in flow region • Failure is accompanied by rapid volumetric expansion
Other Factors not considered here • Visco-elastic (time-based behavior) • Property change over product operational temperature • Property change with environmental exposure
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DIC Operation
DIC Principle • Speckle pattern is broken into facets (elements) • Speckle pattern is tracked frame to frame • Calibration of a volume is performed through
measuring calibration panel in various orientations in the test space.
• Strains can be captured on the micro-strain level • Strain field can be mapped over the actual part
image DIC Utilization in this work
• Local y, x, z strains are measured • Surface strains for validation of simulation
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Obtaining true stress-strain with localized DIC measurement
Effect of gage length selection
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True Strain (unitless)
True
Stre
ss (M
Pa)
1 mm GL
2 mm GL
4 mm GL
25 mm GL
50 mm GL
y x
z
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Non-linear elasticity in ductile plastics
Absence of linear elastic region (unlike metals) Presence of visco-elastic behavior (not considered in this work)
Aluminum
Polycarbonate
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Determining onset of plasticity
Incremental increasing load-relaxation cycles: capture unrecovered strain
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plas10
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time, sex
tensio
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The onset of deviatoric straining
Non-linear elastic limit occurs before the yield point
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0.0 1.0 2.0 3.0 4.0 5.0 6.0True Strain (%)
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Str
ess
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Elasto-plastic model limitations
Unable to capture non-linear elastic behavior Cannot correctly capture deviatoric strain prior to yield Cannot capture post-yield volumetric strain
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Elasto-plastic model validation
Instron 8872 universal testing machine (UTM) 1 mm/min displacement of nose Apply speckle patter to part to allow use of DIC strain capture Two camera DIC to capture
3D strain
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Deformed Part
•Loaded past yield •Observed symmetric buckling inwards •Slight indentation of support pins causing stress whitening on the reverse side of the part
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Simulation with Abaqus: material model
Polypropylene • Tensile and Density Test • Elastic
- E = 1572 [MPa] - υ = 0.29
• Plastic curve (Right) • Density
- ρ = 7.9 E-06 [tonne/mm3] Measured at QS speeds
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Strain field validation
Abaqus DIC
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Comparison of Simulation to Experiment
• Force vs. loading nose displacement • Similar response throughout
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DIC Comparison of Simulation to Experiment
• Local strain vs. Displacement • Diverges after 2 mm • Corresponds to yield
on stress-strain curve
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POST YIELD BEHAVIOR
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3D Stress-strain measurements for plastics
Actual measurements in 3D Local y, x, z strains are measured
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in (%
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rain
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PP
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True stress v. volumetric strain and true strain
True stress calculated from x-z strain Y-strain is localized, true Volumetric strain obtained from YXZ strain Fail strain is measured Classical stress-strain does not correlate
PC
ABS
PP
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Transverse v. axial strain
X and z strains may not coincide May depend on material and
processing
PC
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PP
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train
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Yield behavior in plastics
Yield surface – Available test modes • Tensile • Compressive (CLC) • Shear (classical or Iosipescu) • Biaxial
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sDir1
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/MPa
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En
g S
tre
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MP
a)
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Shear
Tensile
PC
PP
PC
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Tensile experiment validation with measured FAIL strain
ABS, LS-DYNA MAT_024, 100/s, FAIL at 0.44
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Dart impact validation for ABS
LS-DYNA MAT_024 • Failure strain is arbitrary • Much greater than tensile fail strain • Model extrapolation is needed • Model cannot predict softening behavior
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Rationale for using larger fail strain
Falling dart is a biaxial experiment Measured biaxial fail strain for ABS is 1.8 (Ericchsen Cupping experiment combined
with DIC, with advice from Dr. H. Gese.)
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Incorporating volumetric behavior
SAMP material model Post-yield volumetric behavior converted to plastic Poisson’s ratio
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Applying failure criteria to SAMP
Using FAIL = biaxial fail strain approaches test data Softening behavior is predicted Using triaxiality v. fail strain does not work well
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LS-DYNA Validation of Dart Impact - PP
MAT_024 material model fitted with Matereality
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Falling dart validation for PP
MAT_024 Material Model • Various rate dependency options
VP=1 Fail Strain extrapolated to 1.2 SAMP less important where no softening behavior is seen
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Insights
Build a post yield material model containing deviatoric and volumetric terms Decouple two effects
• Allow deviatoric straining prior to yield • Volumetric straining starts at yield
Effect of non von-Mises yield surface should be considered Look at failure strain as a function of stress triaxiality (eg. SAMP)
• Vital for failure prediction • Alternately, arbitrary model extrapolation is required • Not easy to objectively measure fail strain at different stress triaxiality
• Tensile is feasible • Biaxial is feasible • Shear is not feasible; reverts to tensile mode for ductile plastics
Error accumulates due to model infidelities
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