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

J Mater Sci Technol ›› 2010, Vol. 26 ›› Issue (12): 1063-1070.

• Modeling and Simulations • Previous Articles Next Articles

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

Zhaoyang Jin, Zhenshan Cui

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

Received:2009-06-12 Revised:2009-11-09 Online:2010-12-31 Published:2010-12-21
Contact: Zhao-Yang JIN
Supported by:
the National Basic Research Program of China (No. 2006CB705401), the National Natural Science Foundation of China (No. 51075270) and the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 10KJD460003)

Abstract

Abstract: 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.

Key words: Dynamic recrystallization, Cellular automata method, Nucleation model, Response surface method, Parameter identification

Zhaoyang Jin Zhenshan Cui. Modelling the Effect of Initial Grain Size on Dynamic Recrystallization Using a Modified Cellular Automata and a Adaptive Response Surface Method[J]. J Mater Sci Technol, 2010, 26(12): 1063-1070.

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

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