Research on several constitutive models to predict the flow behaviour of GCr15 continuous casting bloom with heavy reduction

被引:8
|
作者
Zhou, Qian [1 ,2 ]
Ji, Cheng [1 ,2 ]
Zhu, Miao-yong [1 ,2 ]
机构
[1] Minist Educ, Key Lab Ecol Met Multimetall Ores, Shenyang 110816, Peoples R China
[2] Northeastern Univ, Sch Met, 3-11 Wenhua Rd, Shenyang 110816, Peoples R China
基金
中国国家自然科学基金;
关键词
heavy reduction; constitutive equation; flow stress; GCr15; bloom continuous casting; MODIFIED ZERILLI-ARMSTRONG; MODIFIED JOHNSON-COOK; TEMPERATURE DEFORMATION-BEHAVIOR; NEURAL-NETWORK MODEL; HOT DEFORMATION; DYNAMIC RECRYSTALLIZATION; MEDIUM-CARBON; PLASTIC-FLOW; STRAIN-RATE; STRESS;
D O I
10.1088/2053-1591/ab52c2
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this work, the modified Johnson-Cook (J-C) model was developed. The predictive abilities of the JC model, new modified JC model, modified Zerilli-Armstrong (ZA) model, and strain-compensated Arrhenius model of the flow behaviour of GCr15 continuous casting bloom with heavy reduction (HR) were compared. The deformation mechanism was explored. Experimental stress-strain data from single-pass thermo-simulation compression experiments over a wide range of temperatures (1023-1573 K), strains (0.05-0.7) and strain rates (0.001-0.1 s(-1)) were applied to deduce the material parameters of these constitutive models. The applicability of the models was analysed by calculating the correlation coefficient; the average relative error (AARE) of the model; and the number of model parameters, which represents the computation time of each model. The experimental results showed that the new modified JC model was more suitable for describing the flow behaviour of GCr15 continuous casting bloom with HR because of its convenient calculation and better accuracy.
引用
收藏
页数:19
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