cahrs workshop testing for crash & safety ... - testpaks
TRANSCRIPT
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Testing for Crash & Safety Simulation
Hubert Lobo
DatapointLabs New York, USA
CAHRS Workshop
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DatapointLabs
Research quality material testing
ISO 17025 production environment
Results in 5 days (48 hour RUSH service)
Web-based quotation & data delivery
Domain expertise in CAE material calibration
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expert material testing
TestPaks® = Materials testing +
CAE material parameter conversion
metal, plastic, foam, rubber, composites…
over 20 CAE software codes
testing
Your CAE
data conversion materials
+
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Topics
A test philosophy for representing rate dependency of materials
Experimental technique including sampling and specimen geometries
Assessment of crash material data quality, expected trends & validation
Specific comments for unfilled and fiber-filled polymers, foams, rubber and metals.
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Getting pertinent properties
Importance of measuring the right property
Artifact free data
Properly designed experiments
eg. not using crosshead displacement
to calculate strain
Traceable data (ISO 17025)
NIST traceable instruments
Certified trained technicians
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Getting the right samples
Spatial variation
Properties vary with location
Forming, stretching, molding…
Environmental variation
Ageing and conditioning
Process variation
Degradation from processing
Recycled materials
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Metals
Relatively well behaved
Models designed to match behavior
Challenges lie with post yield non-
Mises failure envelopes
Scaling of yield surface with strain rate
Work of Nakajima, Dubois, Hooputra
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Plastics
Not well behaved
Models not designed for plastics crash
simulation
Complex models are expensive
Can we develop best practices for
adapting common models to plastics
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Plastics Behavior - Basics
Non-linear elasticity
Elastic limit well below
classical yield point
Significant plastic
strains prior to yield
Post-yield with necking
behavior 0
5
10
15
20
25
30
35
0.0 5.0 10.0 15.0 20.0
Engineering Strain (%)
En
gin
ee
rin
g S
tre
ss (
MP
a)
data
Plastic Point
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Plastics Rate Effects
Modulus may depend on rate
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Plastics Rate Effects
Fail strain may be rate dependent
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Material Testing
Instron servo-hydraulic UTM
Dynamic load cell
Test at 0.01, 0.1, 1. 10, 100/s
strain rates
Temperatures: -40 to 150C
tens_slow.mpg
Tens.mpg
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Test Specimens
ASTM D638Type V
Preparation
CNC from plaque
CNC from part
Molded
Variability
processing
orientation
thickness
gate region
E1
E2
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Modeling simple ductile plastics
Modulus is not rate dependent
Large strains to failure
Post-yield necking
Plasticity curves vary with strain rate
Failure strain independent of strain rate
LS-DYNA, ANSYS, ABAQUS,
PAMCRASH
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Choosing EMOD
0
5
10
15
20
25
30
35
0.0 5.0 10.0 15.0 20.0
Engineering Strain (%)
En
gin
ee
rin
g S
tre
ss (
MP
a)
data
Plastic Point
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Post-yield with necking (Deihl)
0
10
20
30
40
50
60
70
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6
Strain mm/mm
Str
ess
MP
a
UTM1-39.62-1
UTM1-39.62-2
yield point
necking starts
neck propagation
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Fail Limitations
When FAIL f(strain rate)
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0
5
10
15
20
25
30
35
40
1.E-02 1.E-01 1.E+00 1.E+01 1.E+02
Strain Rate(/s)
Te
nsile
Str
eng
th (
MP
a)
data
Cowper Symonds
Eyring
Modeling Rate Dependency
Cowper Symonds
Does not correlate
well with plastics
rate dependency
LCSR
Capture model
independent
behavior
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Eyring Model
Eyring Model
Yield stress v. log strain rate is
linear
Best form for plastics
Fit yield stress v. log strain rate
data to Eyring equation
Can submit to LSDYNA MAT24 as
table using LCSR
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MAT24 validation
0
10
20
30
40
50
60
0 0.05 0.1 0.15 0.2 0.25 0.3
Strain (mm/mm)
Str
ess (
MP
a)
LS-DYNA Simulation
Tensile Experiment
MAT 24 Model
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Brittle plastics
Modulus is rate dependent
Small strains to failure
Brittle failure
Failure strain decreases with
increasing strain rate
LSDYNA MAT19
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Methodology for MAT 19
Determine elastic limit at
quasi-static strain rate
Use elastic limit for von-
Mises yield
Define failure
failure stress v. strain
rate table
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Ductile-brittle transitions
Non-linear behavior
Failure depends on
strain rate
Models
LS-DYNA MAT89
PAMCRASH 103
Abaqus *ELASTIC
*PLASTIC,Rate
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Fiber Filled Plastics
Digimat MX
Material model reverse engineered
from standard experiment
Perform injection-molding simulation
Apply Digimat material model to
transfer data to crash simulation
Crash model has spatially oriented
properties
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Basic Digimat TestPak Protocol
Mold 100X300X3.16mm plaques
Edge gated on 100 mm end
Long flow length
Fully developed flow
Highly fiber orientation
Cut test specimens by CNC
5 specimens each (0°, 90° )
Obtain true stress-strain data
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Advanced Models
MATSAMP (LS-DYNA)
Standard rate dependent model
Add non-mises failure envelope
Compression
Shear
Add triaxiality
Post yield transverse strain
Add unloading
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Pros and Cons
Better failure envelope modeling
Greater cost
More complex model
Greater simulation accuracy in
difficult cases
Cost-benefit not certain for general
use
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Foams
Different deformation modes
Crushable
Elastic with or without damage
Visco-elastic
Large volumetric strain component
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Effect of Poisson’s Ratio = 0
Material compacts by eliminating air
No lateral deformation
Poisson’s Ratio -> 0
Axial strain volumetric strain
True for
open cell foams
crushable foams
May not be true for
closed cell foams
elastomeric foams
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Typical Stress-Strain Data
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
0.040
0.045
0.050
0 20 40 60 80 100
Engineering Strain (%)
En
gin
ee
rin
g S
tre
ss (
MP
a)
Zone 1 Zone 2 Zone 3
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Test Strategy
Compressive stress-strain
5 decades of strain rate
.01, .1, 1, 10, 100 /s
Temperatures
-100 to 150C
Optional tests
Tensile (for cut-off stress)
Shear (as required)
Hisp_comp.mpg
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Test Instruments
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PU Foam-stress strain
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1Strain (mm/mm)
Stre
ss (M
Pa)
0.01/s fit
0.1/s fit
1/s fit
10/s fit
100/s fit
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PU Foam- rate effects
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PU Foam recovery
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0 20 40 60 80 100
Engineering Strain (%)
En
gin
ee
rin
g S
tre
ss (
MP
a)
Load
Unload
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Conclusions
Choice of material model depends on
material
test data
situation complexity
Proper selection = reasonable model
Simple improvements can add power
Validated models represent baseline
Models can be tuned for multi-axial loadings
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