Title: Fitting FiveParameter Grain Boundary Character in 3D Digital Microstructures
1Fitting Five-Parameter Grain Boundary Character
in 3D Digital Microstructures
- Lisa Chan
- Carnegie Mellon University
- Dr. Anthony Rollett Dr. Gregory Rohrer
2Motivation
- Several ?3 boundaries with larger deviations
from ideal misorientation cracked.
Gertsman et al., Acta Mater., 49 (9) 1589-1598
(2001).
2
3Motivation
- Cracked ?3 boundaries were found to deviate more
than 5from the trace of the 111 plane.
Lin et al., Acta Metall. Mater., 41 (2) 553-562
(1993).
3
4Five Parameter Grain Boundary Character
Distribution
three Euler angles
4
Modified from Saylors TMS 2002 slide
5Plan
target grain boundary character distribution
target orientation distribution
digital microstructure
Simulated Annealing
output orientation distribution grain boundary
character distribution
5
6Microstructure Builder
1512 grains
2D.M. Saylor et al., Metall. Mater. Trans. A 35A
(7) 1969-1979 (2004).
6
7Rolling Texture Rolled Copper
Rolled copper data obtained from Dr. Samuel Lim
8Experimental GBCD
9Flowchart of Algorithm
Simulated Annealing
output orientation distribution grain boundary
character distribution
10Simulated Annealing
(1) Assign an orientation to each grain
(2) Simulated annealing minimization1
Approach a configuration that minimizes error
1Miodownik et al., Acta Mater., 47 (9) 2661-2668
(1999).
Saylors TMS 2002 slide
11Simulated Annealing
Weighting Values
where
Probability of accepting evolution step
T annealing temperature
12Annealing Temperature
T
13Flowchart of Algorithm
Simulated Annealing
14Future Work
- create more statistically representative
microstructures - perform more simulations to analyze the effects
of texture strength and grain geometries on grain
boundary character distribution
14
15Thank You
16Stereology for measuring GBCD
The probability that the correct plane is in the
zone is 1. The probability that all planes are
sampled is lt 1.
D.M. Saylor et al., Metall. Mater. Trans., 35A
1981-1989 (2004).