Modeling dynamic recrystallization using cellular automata

Dynamic recrystallization (DRX) and dynamic recovery (DR) are two competing processes by which metals and alloys undergo a reduction in the density of accumulated dislocations during plastic deformation at elevated temperatures. The objective of the present work was to model DRX under isothermal and constant strain rate conditions using the cellular automata (CA) technique. CA is similar to the MC method. However, fundamental differences exist due to the use of different phenomenological relationships, MC`s probabilistic method of grain boundary motion, and its use of the Potts model. This study is a sequel to the authors work on static recrystallization at grain boundaries using CA. The application of CA to DRX was practicable because DRX also occurs through grain boundary nucleation. The model will be used to examine the effect of initial grain size on the transition from single to multi-peak flow curves, nucleation density, recrystallization kinetics, and the strain hardening rate.

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