修正的J-C和Z-A模型对LZ50钢高温流变应力预测

doi:10.13228/j.boyuan.issn0449-749x.20220605

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Abstract The cross wedge rolling technology has broad application prospects in forming axle parts. Therefore,in order to realize the cross wedge rolling forming of high-speed railway axle material LZ50 steel,it is necessary to build a constitutive model that can accurately describe its high-temperature rheological behavior. The modified Johnson Book and Zerilli Armstrong models are more accurate for predicting the metal flow stress,which can establish the constitutive equation of flow stress of LZ50 steel for these two models. At the same time,in order to accurately analyze the deformation behavior of LZ50 steel in the process of cross wedge rolling of large shaft parts,it is necessary to further analyze the average relative error E_AR,correlation coefficient R and mean square error R_MSE of the two models at different temperatures to judge the applicability of the model,It provides a theoretical basis for the online production of cross wedge rolling. The hot compression experiments were carried out on LZ50 steel by Gleeble-3800 thermal simulation testing machine at different compression temperatures (900,1 000,1 100 ℃) and strain rates (0.1,1,10 s^-1). The true compression strain was 0.8,and 1 000 ℃ and 0.1 s^-1 were used as reference temperatures and strain rates. Two high temperature rheological stress constitutive equations were constructed through the modified Johnson-Cook and Zerilli-Armstrong models,Compare the average relative error E_AR,correlation coefficient R and mean square error R_MSE of the two models' predicted flow stress and measured flow stress in the strain range of 0.3-0.8. The results showed that the average relative error E_AR of the modified Johnson-Cook and Zerilli-Armstrong models was 3.8% and 6.9% respectively,R were 0.986 and 0.974 respectively,and R_MSE was 4.979 8 MPa and 8.050 1 MPa respectively. By comparing the average relative error E_AR,correlation coefficient R and mean square error R_MSE of the two models under different temperature conditions,it is found that Johnson-Cook model has better prediction accuracy at 900 ℃ and 1 000 ℃,while Zerilli-Armstrong model has higher prediction accuracy at 1 100 ℃.

Key words： LZ50 steel flow stress constitutive model thermal compression experiment root mean squared error

Received: 19 September 2022

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	LI Shi-qian
	HE Tao
	DU Xiang-yang
	HUO Yuan-ming
	JIA Dong-sheng
	LI Han-lin

Cite this article:

LI Shi-qian,HE Tao,DU Xiang-yang等. High temperature flow stress prediction of LZ50 steel based on modified J-C and Z-A models[J]. Iron and Steel, 2023, 58(4): 148-156.

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http://www.chinamet.cn/Jweb_gt/EN/10.13228/j.boyuan.issn0449-749x.20220605 OR http://www.chinamet.cn/Jweb_gt/EN/Y2023/V58/I4/148

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