Three-dimensional Monte-Carlo computer simulation of grain growth in electro-plated pure Ni

2004 ◽  
Vol 10 (2) ◽  
pp. 113-121 ◽  
Author(s):  
H. S. Uhm ◽  
S. K. Hwang
2012 ◽  
Vol 61 (4) ◽  
pp. 045204
Author(s):  
Yang Chao ◽  
Liu Da-Gang ◽  
Wang Xiao-Ming ◽  
Liu La-Qun ◽  
Wang Xue-Qiong ◽  
...  

1989 ◽  
Vol 155 ◽  
Author(s):  
Elizabeth A. Holm ◽  
M. J. Cima

ABSTRACTA Monte Carlo computer simulation that percolates soft-core, pseudographic whiskers in a discrete matrix has been developed, and two- and three-dimensional whisker percolation thresholds were determined for various whisker aspect ratios. The percolation thresholds were found to agree with the predictions of the excluded volume theory of percolation; moreover, the thresholds were found to coincide with the zero-shrinkage whisker fraction in ceramic matrix-ceramic particle composites.


1997 ◽  
Vol 106 (4) ◽  
pp. 1593-1599 ◽  
Author(s):  
Aleksey Vishnyakov ◽  
Elena M. Piotrovskaya ◽  
Elena N. Brodskaya

1990 ◽  
Vol 209 ◽  
Author(s):  
P. Mulheran ◽  
J.H. Harding

A Monte Carlo procedure has been used to study the ordering of both two and three dimensional (2d and 3d) Potts Hamiltonians, further to the work of Anderson et al. For the 3d lattice, the short time growth rate is found to be much slower than previously reported, though the simulated microstructure is in agreement with the earlier studies. We propose a new stochastic model that gives good agreement with the simulations.


1999 ◽  
Vol 60 (4) ◽  
pp. 3053-3057 ◽  
Author(s):  
Şakir Erkoç ◽  
Riad Shaltaf

2012 ◽  
Vol 715-716 ◽  
pp. 146-151
Author(s):  
K.J. Ko ◽  
A.D. Rollett ◽  
N.M. Hwang

The selective abnormal grain growth (AGG) of Goss grains in Fe-3%Si steel was investigated using a parallel Monte-Carlo (MC) simulation based on the new concept of sub-boundary enhanced solid-state wetting. Goss grains with low angle sub-boundaries will induce solid-state wetting against matrix grains with a moderate variation in grain boundary energy. Three-dimensional MC simulations of microstructure evolution with textures and grain boundary distributions matched to experimental data is using in this study.


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