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.