Modelling the Effect of Initial Grain Size on Dynamic Recrystallization Using a Modified Cellular Automata and a Adaptive Response Surface Method

Zhaoyang Jin 1,2) and Zhenshan Cui 1) 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

摘 要：A modified cellular automata （CA） model of dynamic recrystallization （DRX） and a flow stress-based nucleation parameter identification method have been developed.In the method,the modified CA model,which takes the role of deformation degree on nucleation behavior into consideration,is coupled with an adaptive response surface model （ARSM） to search for the optimum nucleation parameter.The DRX behavior of an oxygen free high conductivity （OFHC） copper with different initial grain sizes has been taken as an example to validate the model.Good agreement is found between the simulated and the experimental results,which demonstrates that the new method can effectively improve the simulation accuracy.

关键词：