Abstract
A modified cellular automaton model is constructed for dynamic recrystallisation of GCr15 bearing steel. The effects of the solutes on dislocation density evolution and grain growth are taken into account for accurate predictions of the microstructural evolution during dynamic recrystallisation. The model can predict the recrystallisation kinetics and macrostress–strain of metallic materials. It is found that dynamic recrystallisation inclined to occur under a high temperature and low strain rate conditions. The effects of hot working temperature and strain rate on microstructure were studied, and the simulated results compared with the experimental results for GCr15 bearing steel.
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