Dynamic Recrystallization Simulation of PH13-8Mo Stainless Steel by Cellular Automata Method Based on Laasraoui–Jonas Dislocation Density Model

Abstract

The Gleeble-1500 hot simulation experimental equipment was used to investigate the effects of hot simulation compression on PH13-8Mo stainless steel with strain rates ranging from 0.1 to 10 s−1 and deformation temperatures ranging from 900 to 1150 °C. The stress–strain charts for each deformation condition clearly show the characteristics of dynamic recrystallization behavior. The rheological stress rises as the deformation temperature falls and the strain rate rises. A coupled Laasraoui–Jonas (L–J) model was developed based on the discovery that the dislocation density is crucial to the nucleation and micro-structure evolution of dynamic recrystallization during thermal deformation. The findings demonstrate that the model accurately captures the combined action of dynamic reversion and recrystallization inside the material during hot compression of PH13-8Mo stainless steel and that as deformation rises, the dislocation density first increases and subsequently drops. For calculations and numerical simulations of the evolution of the micro-structure under hot compression, the created model was integrated into the DEFORM-3D finite element simulation program. The projected micro-structure evolution of the PH13-8Mo stainless steel under various deformation circumstances is compared to the measured grain distribution, grain size, and the degree of dynamic recrystallization in the metallographic pictures. The fact that the simulated result plots resemble the metallographic charts so closely demonstrates that the L–J dislocation density model can reliably forecast how dynamic recrystallization of PH13-8Mo stainless steel would behave under hot compression.