SIMULATION OF DYNAMIC RECRYTALLIZATION

USING EXTENDED CELLULAR AUTOMATON METHOD

Xiao Hong

(College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004)

Yanagimoto Jun

(Institute of Industrial Science, University of Tokyo, Tokyo 153-8505)

Abstract: Based on the fundamental metallurgical principles of metal plastic forming, a novel cellular automaton (CA) model is proposed to simulate the microstructural evolution during plastic deformation. The growth velocity for recrystallized grain is proportional to the driving force of recrystallization, which is determined by the grain boundary energy and dislocation density. At cach increment step, the transformation probability for the neighborhood sites of a recrystallized grain is dependent on its growth velocity. Using the model, dynamic recrystallization processes for different temperatures, strain rates and strains are simulated, and the predictions agree with the experimental results and analysis results by empirical equations. The model is capable of simulating kinetic, microstructure and texture development during recrystallization.

Key words: Simulation of microstructure evolution  Plastic forming  Dynamic recrystallization  Cellular automaton method

CLC No: TB115

国家自然科学基金资助项目(50275130). Received 20030813, received in revised form 20020040426