Simulation of dynamic recrystallization using random grid cellular automata
Nima Yazdipour1, Christopher H.J.Davies2, Peter Damian Hodgson1
1Center of Material and Fibre Innovation (CMFI), Deakin University, Geelong, Victoria 3217, Australia. 2School of Physics and Materials Engineering, Monash University, Victoria 3800, Australia.
DOI:
https://doi.org/10.7494/cmms.2007.1.0112
Abstract:
Computer simulation is a powerful tool to predict microstructure and its evolution during dynamic recrystallization. Cellular Automata (CA), as one of the most efficient approaches proposed to simulate physical models of recrystallization and grain growth. In this study, the recrystallization and growth phenomena were modelled using a two dimensional random-grid CA method. Time, initial grain size and initial nuclei density as Johnson, Mehl, Avrami, and Kolmogorov (JMAK) variables have been used to validate the current model. Considering the model assumptions, it is shown that the CA can successfully simulate dynamic recrystallization.
Cite as:
Yazdipour, N., Davies, C.H.J., & Hodgson, P.D. (2007). Simulation of dynamic recrystallization using random grid cellular automata. Computer Methods in Materials Science, 7(1), 168 – 174. https://doi.org/10.7494/cmms.2007.1.0112
Article (PDF):
Keywords:
Dynamic recrystallization, Dislocation density, Cellular automata
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