This document summarizes a Ph.D. defense presentation about modeling the machining of fiber-reinforced polymers. The presentation covers:
1. An introduction to fiber-reinforced polymers and issues with machining them, as well as the motivation for using simulations.
2. The numerical approach taken, including the damage mechanics model, governing equations, and Eulerian formulation used in the simulation.
3. Verification of the model through comparisons to published experiments showing damage modes, fiber bending, force predictions, and damage initiation and completion.
1. An Eulerian Cutting Model for
Unidirectional Fiber-Reinforced
Polymers
A Ph.D. Defense Presentation
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6
Title
Student: Shengqi Zhang
Committee: John Strenkowski
Mark Pankow
Kara Peters
Mohammed Zikry
GSR: Jagannadham Kasichainula
5. Machining of FRP
Experiments
Time-delay
Expensive
Material cost
Instrument noise/error
Lack of detailed insight
Too many parameters
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1.2
Simulations
Cheap & fast
Repeatability
Entire knowledge
Different levels of modeling
Design insights
Iliescu et al. 2010 Zenia et al. 2015
6. Simulation
Details
Expensive
Short cutting length
Only possible for 2-D
Fibers are round
Does not account imperfections
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1.3
Micro-mechanics
Rao et al. 2007
7. Simulation
Averaged material
properties
Permits longer
cutting length
The only affordable
way for 3-D analyses
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1.3
Soldani et al. 2009
Usui et al. 2014
Equivalent Homogeneous Material
Lasri et al. 2009
8. Eulerian formulation
Accommodates large deformations
Fixed geometry
No need for an expensive contact algorithm.
Efficient mesh refinement only at points of interests.
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1.4
10. Problem description
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2.1
2-D plane stress analysis
Tool as boundary
condition
Clearance angle not
considered
Chips not considered after
formation
Homogeneous equivalent
material
Zhang et al. 2001
30. Cutting forces vs Fiber angle3.7
Good trend
No clearance face
Experimental error
Need longer simulation time
Complex macroscopic behavior
Wang et al. 1995
300
250
200
150
100
50
0
Force (N/mm)
~100 x DOC
2.6 x DOC
38. Elementary effects
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4.2
22 model parameters
Analyze effect of each parameter
3-levels for each parameter
(Low – mid – high)
322 = 31,381,059,609 model evaluations!
Need a better method
39. Elementary effects
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4.2
22 model parameters (𝑘 = 22)
Factorial sampling of 𝒙 (Morris 1991)
4 samples of each 𝑒𝑖 𝒙
Mean, standard deviation of 𝑒𝑖 𝒙
𝑒𝑖 𝒙 =
𝑦 𝑥1, 𝑥2, … , 𝑥𝑖−1, 𝑥𝑖 + Δ, 𝑥𝑖+1, … , 𝑥 𝑘 − 𝑦(𝒙)
Δ
𝑥𝑖 ∈ [0, 1]
Definition
𝑦 = 𝑦 𝒙 Scalar model response
𝑘-dimensional input vector
Approx. of 𝜕𝑦(𝒙)
𝜕𝑥𝑖
44. Elementary effects4.2
Strong dependency on fiber angle
Least sensitive for 𝜃 = 30°
Most nonlinear for 𝜃 = 60°
More operators are functional at higher fiber
angles
45. Influence of machining conditions
4.1 Depth of cut
4.2 Rake angle
4.3 Nose radius
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4.3
49. Influence of machining conditions
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4.3.4
Consitent trend
for 𝜃 = 30°
Inconsistent for
𝜃 = 60° and 𝜃 =
90°
Different failure
and chip
formation
mechanisms
Relative nose radius = nose radius/DOC
Sharp Blunt