Abstract Based on the distribution of stored energy in hot deformed austenite simulated by a crystal plasticity finite element method (CPFEM), the static recrystallization of a low carbon steel was investigated by a 2D cellular automaton (CA) model on mesoscale. The effect of the inhomogeneous distribution of the stored energy on the static recrystallization was simulated, which was difficult for the traditional recrystallization CA models. The simulated results revealed that the density of recrystallization nucleation varied in different sites due to the inhomogeneous distribution of stored energy, and the nuclei concentrated both at the grain boundary and in the heavily deformed grain interiors. The number of recrystallized nuclei increased and the distribution of the nucleation inclined to homogeneity with the decreased critical stored energy for nucleation. In addition, the recrystallization kinetics under various nucleation criteria was discussed in the present paper.
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