• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 2011, Vol. 47 ›› Issue (22): 80-86.

• Article • Previous Articles     Next Articles

Quantitative and Visual Simulation of Dynamic Recrystallization Using Cellular Automation Method

WANG Qin;FANG Lüpin   

  1. China Coal Research Institute Shanghai Ltd
  • Published:2011-11-20

Abstract: Based on the metallurgical principles of hot working process, the parameters of plastic deformation and energy state are introduced into the cellular automaton algorithm in the form of hexagon-motif cell. With the two-dimensional hybrid model, the quantitative and visual simulation of dynamic recrystallization is carried out. In this model, the nucleation rate, critical dislocation density of nucleation, increase of dislocation density and driving force for grain growth, especially energy state, are taken into account thoroughly. A series of processes such as the work hardening, dynamic recovery, nucleation and growth of recrystallization grains can be simulated. By employing the model, the dynamic recrystallization processes of pure copper under different temperature and strains rates have been simulated. Microstructure evolution of dynamic recrystallization, especially nucleation and grain growth, is directly shown, and the growth kinetics of dynamic recrystallization is obtained. The effects of strain rate on dynamic recrystallization process and growth of recrystallization grains are discussed on the base of the model. The simulated results agree well with experimental results.

Key words: Cellular automaton method, Dynamic recrystallization, Microstructural evolution, Plastic forming

CLC Number: