Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization


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A hybrid global optimization method combining the Real-coded genetic algorithm and some classical local optimization methods is constructed and applied to develop a special program for parameter identification. Finally, the parameter identification for both 26Cr2Ni4MoV steel and AZ31D magnesium alloy is carried out by using the program. A comparison of deformation test and numerical simulation shows that the parameter identification and the obtained two sets of material parameters are all available.



Materials Science Forum (Volumes 561-565)

Main Theme:

Edited by:

Young Won Chang, Nack J. Kim and Chong Soo Lee




Q. L. Jin and Y. S. Zhang, "Parameter Identification of Thermal Visco-Plastic Model Considering Dynamic Recrystallization", Materials Science Forum, Vols. 561-565, pp. 1869-1874, 2007

Online since:

October 2007




[1] Quanlin Jin, A new analytical model of dynamic recrystallization, J. Plasticity Engineering, 1(1) (1994), 3-13, (in Chinese).

[2] Jie Qu, Quanlin Jin and Bingye Xu, Improvement of visco-plastic model considering dynamic recrystallization, Acta Mechanica, Vol. 20, No. 5(2004), pp.499-506.


[3] J.J. Moré, The Levenberg-Marquardt algorithm: implication and theory. In: G.A. Waston (Eds. ), Lecture Notes in Mathematics 630: Numerical Analysis. Spring-verlag, Berlin(1978), 105-116.


[4] J.E. Dennis, D.M. Gay, R.E. Welsch, An adaptive nonlinear least-squares algorithm. ACM Trans. Math. Software, 7(3) (1981), 348-368.


[5] Q.Y. Duan, S. Sorooshian and V.K. Gupta, Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res., 28(4) (1992), 1015-1031.


[6] F. Herrera, M. Lozano, J. L. Verdegay, Tackling real-coded genetic algorithms: operators and tools for behavioral analysis. Artificial Intelligence Review. 12(4) (1998), 265-319.

[7] F. Xu and Q. Jin, and et. al, A Study on the Method of Determining Material Constitutive Parameters, in Proc. of Int. Conference. Forging and Related Technology, 27-28 April 1998, Birmingham, UK, 191-200.

[8] D. M. Himmelblau, Applied nonlinear programming, New York: McGraw-Hill(1972).

[9] Q.Y. Duan, V. K. Gupta, S. Sorooshian, Shuffled complex evolution approach for effective and efficient global minimization, J. Optim. Theory Appl., 76(3) (1993), 501-521.


[10] Yanshu Zhang, Zhipeng Zeng, Quanlin Jin, Microstructure Properties Study of Commercial Magnesium Alloy AZ31D, Materials Science Forum, Vol. 488-489(2004), 641.