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Proceedings Paper

Simulation of normal grain growth based on cellular automata and Monte Carlo algorithm
Author(s): Wei Wang; Juhua Chen; Peiquan Guo
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Paper Abstract

A three-dimensional simulation of the grain growth was conducted by means of cellular automata (CA) and Monte Carlo (MC) algorithm. The growth rate of grain, its microstructure evolution and size distribution can be predicted according to evolution simulation. Evolution process of such model-microstructures can be used to simulate the real physical-metallurgy processes and to predict quantitative dynamic information of the evolution of microstructure. This method is also useful for optimization of materials properties by controlling the microstructure evolution.

Paper Details

Date Published: 21 March 2006
PDF: 5 pages
Proc. SPIE 6040, ICMIT 2005: Mechatronics, MEMS, and Smart Materials, 60402J (21 March 2006); doi: 10.1117/12.664269
Show Author Affiliations
Wei Wang, Shandong Univ. (China)
Jinan Univ. (China)
Juhua Chen, Shandong Univ. (China)
Peiquan Guo, Jinan Univ. (China)

Published in SPIE Proceedings Vol. 6040:
ICMIT 2005: Mechatronics, MEMS, and Smart Materials
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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