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Cellular automaton model to simulate nucleation and growth of ferrite grains for low-carbon steels

Published online by Cambridge University Press:  31 January 2011

L. Zhang
Affiliation:
College of Science, Northeastern University, Shenyang 110006, People's Republic of China, and Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China
C. C. Zhang
Affiliation:
The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110006, People's Republic of China, and College of Science, Northeastern University, Shenyang 110006, People's Republic of China
Y. Y. Wang
Affiliation:
Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, People's Republic of China
X. X. Liu
Affiliation:
The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110006, People's Republic of China
G. G. Wang
Affiliation:
The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110006, People's Republic of China
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Abstract

A two-dimensional cellular automaton model was developed for the simulation of nucleation and growth of ferrite grains at various cooling rates in low-carbon steels. The model calculates the diffusion of the solute and temperature fields in an explicit finite method and incorporates local temperature and concentration changes into a nucleation or growth function, which is utilized by the automaton in a probabilistic fashion. The modeling provides an efficient way to understand how those physical processes dynamically progress and affect nucleation and growth of ferrite grains.

Type
Articles
Copyright
Copyright © Materials Research Society 2002

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