Study of the influence of initial microstructure topology on the kinetics of static recrystallization using a cellular automata model

This paper considers the kinetics of isothermal primary recrystallization of metallic materials using a two-dimensional cellular automata model. The model was applied to predictions of recrystallization kinetics and mean grain size dependence on initial grain topology. It was observed that more deformed microstructure accelerates the kinetics of recrystallization, increases the Avrami exponent and influences the final mean grain size. The results of simulations were compared with predictions of JMAK theory for two-dimensional growth.

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