Hot tensile constitutive model parameters reverse engineering of SA765Gr.Ⅱ alloy steel
Under the conditions of temperature range of 950 ℃ to 1150 ℃ and strain rate range of 0.01 s-1 to 5 s-1,isothermal tensile experiments were conducted on SA765Gr.Ⅱ alloy steel by the Gleeble-1500D thermal simulation machine to investigate its hot tensile deformation behavior.Firstly,the Norton-Hoff model parameters of the SA765Gr.11 alloy steel were derived using linear regression method.Then,a method based on adaptive simulated annealing(ASA)algorithm was proposed to solve the constitutive model parameters(reverse method).The results show that compared to the regression method,the correlation coefficient R of the model constructed by the reverse engineering method increases from 0.9831 to 0.9958,the root mean square error RMAE decreases from 6.392 to 3.603,and the average relative error AARE decreases from 5.38％to 3.69％.The expected prediction error and standard deviation of the model constructed by linear regression method are 0.97 and 8.76,respectively,while the expected prediction error and standard deviation of the model constructed by reverse engineering method are 0.13 and 5.14,respectively.The prediction accuracy of the Norton-Hoff model constructed through reverse engineering method has been improved.
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