Identification of nucleation parameter for cellular automaton model of
dynamic recrystallization
dynamic recrystallization
(1. National Die and Mold CAD Engineering Research Center,
Shanghai Jiao Tong University, Shanghai 200030, China;
2. School of Mechanical Engineering, Yangzhou University, Yangzhou 225001, China)
Shanghai Jiao Tong University, Shanghai 200030, China;
2. School of Mechanical Engineering, Yangzhou University, Yangzhou 225001, China)
Abstract: The accuracy of nucleation parameter is a critical factor in the simulation of microstructural evolution during dynamic recrystallization (DRX). Based on the flow stress curve under hot deformation conditions, a new approach is proposed to identify the nucleation parameter during DRX. In this approach, a cellular automaton (CA) model is applied to quantitatively simulate the microstructural evolution and flow stress during hot deformation; and adaptive response surface method (ARSM) is applied as optimization model to provide input parameters to CA model and evaluate the outputs of the latter. By taking an oxygen-free high-conductivity (OFHC) copper as an example, the good agreement between the simulation results and the experimental observations demonstrates the availability of the proposed method.
Key words: dynamic recrystallization; cellular automaton method; response surface method; nucleation rate; parameter identification