Unraveling Multimodality with Large Language Models.pdf
Tensile Properties of Individual Wood Flour Particles
1. Tensile Properties of Individual
Wood Flour Particles
Department of Wood Science and Engineering
2. Introduction
Wood Plastic Composites
Composition:
oWood Particles
oThermoplastics
oPS, PE, HDPE, PP, PVC
oAdditives
composites.wsu.edu/ navy/Navy1/materials.html
Use: outdoor decking, railings, fencing, landscaping http://www.appropedia.org/File:Wood_Plastic_Composite.jpg
timbers, highway infrastructure applications, etc.
Known limitations:
o durability
o significant creep
o thermo-expansion
o weight/strength
o…
Klyosov 2008
3. Motivation
Space for improvement
o Durability Issues
o Markets
Improvement strategies
o Trial and Error
Need more $$
Need more time
o Virtual Prototyping
Need better fundamental understanding
– Component properties
– Load transfer between components
Would existing short fiber composite theory (SFCT) be sufficient to
do this?
4. Background
Short Fiber Composite Theory
http://t2.gstatic.com/images?q=tbn:ANd9GcQRuVQHT1F2XZ5_l3Biw http://www.hindawi.com/journals/jnm/2010/453420/fig1/
GMSgzqaiBTXhakgfKOOtB6gB7itCUqCRZ722N11
http://urbana.mie.uc.edu/yliu/Images/short_fiber_composites.jpg
Assumptions Short Fiber Theory Wood Plastic Composites
Well Defined Geometry
Non-Porous
Well Defined Interface –
Predictable Bonding
5. Background
Short Fiber Composite Theory
measured particle sizes
0.8
Measurements
Particles:
0.6 A
B
C
width, mm
D
0.4
0.2
0
0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2
length, mm
O’Dell (1997)
Wang (2007) Hussain (2009)
Assumptions Short Fiber Theory Wood Plastic Composites
Well Defined Geometry
Non-Porous
Well Defined Interface –
Predictable Bonding
6. Background
Short Fiber Composite Theory
Can we apply the
theory to WPC’s?
Assumptions Short Fiber Theory Wood Plastic Composites
Well Defined Geometry
Non-Porous
Well Defined Interface –
Predictable Bonding
7. Objectives and Approach
Objectives
Characterize load transfer between wood particles and the polymer
matrix
Verify the applicability of SFCT to WPCs
Approach
Measure deformation and strain distribution in and around wood
particles embedded in a polymer matrix
Simulate the load transfer with morphology-based material point
method modeling (MPM)
Compare the measurements with MPM and SFTC predictions
8. Strain distribution of embedded wood particles
Specimen preparation
Wood flour added at a 0.25% (OD Compressed in a steel mold to the
weight) loading rate thickness of ~0.6 mm
Pressing temperature (150°C)
Reference: 1.0 mm sections of 0.2 mm
copper wire added at the same rate
Compounded in Brabender Plasticoder Hot pressing @ ~150°C
Unit
Copper Wire - Reference Wood Particle
9. Strain distribution of embedded wood particles
Testing Method
Stereo Microscope ε
Analysis Software
Stepper Motor
F
Field of view ~ 3 mm x 4 mm
Optical resolution ~ 2 μm/ pixel
Load Cell
10. Strain distribution of embedded wood particles
Strain Measurements – Various Angles
Oriented 0° to the
σ11 σ11
direction of loading
Oriented 45° to the σ11 σ11
direction of loading
Oriented 90° to the σ11 σ11
direction of loading
11. Strain distribution of embedded wood particles
Strain Measurements – Multiple Particle Interaction
σ11 σ11
Various Particle-to-Particle Interactions
σ11 σ11
σ11 σ11
23. Strain measurement of individual wood
particles
Troubleshooting
0.0006
0.0004
Apparent Negative Strain in Tension 0.0002
Strain
0
100
-0.0002
80
-0.0004
Stress (MPa)
60
Wood particle strain under no loading
40
(εxx)
20
0
-0.5% -0.4% -0.3% -0.2% -0.1% 0.0%
-20
Strain
Out of plane movement
24. Strain measurement of individual wood
particles
Troubleshooting
3D DIC Measurement Catadioptric System
Wood particle Right angled
Light path mirror
25 mm
Planar mirror
Camera 1
27. Conclusions
Good qualitative agreement of strain patterns around the
embedded particle obtained comparing:
• Optical measurements
• MPM modeling
• Short fiber theory
3D DIC of single wood particles is possible
• Single wood particle strain values can be obtained and the
modulus of these particles can be determined.
• Refinement of sample preparation and testing