Modeling of Recrystallization with Recovery by Frontal Cellular Automata

The objective of the paper is modeling of material softening after the deformation. The main problem of almost every model with digital material representation is consideration of recrystallization as the only mechanism of material softening. Static recovery is introduced into the model based on frontal cellular automata. An influence of static recovery on softening process is twofold. Static recovery effects on a decrease of dislocation density directly and on growing rate of recrystallized grain indirectly. Because of static recovery the recrystallization slows down and the time of recrystallization is extended. Simulation consists of two stages. During the deformation, distortion of the cells, evolution of dislocation density, nucleation and grain growth are considered, while after the deformation, the processes of softening are considered only. Comparison of simulation results with experimental data are presented as well.

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