锻压技术

基于DMNR模型的AlCoCrFeNi0.6高熵合金本构方程

英文标题：Constitutive equation on AlCoCrFeNi0.6 high entropy alloy based on double multiple nonlinear regression model

作者：刘太盈1 韩莹莹2 王磊3

单位：(1. 北京星航机电装备有限公司北京 100074 2. 北京动力机械研究所北京 100072 3. 浙江省杭州市正才控股集团有限公司浙江杭州 310000)

分类号：TG142.1

出版年,卷(期):页码：2023,48(6):258-264

摘要：

采用Gleeble-3500热压缩模拟机对AlCoCrFeNi0.6高熵合金进行了热压缩试验，试验温度为1223、1273、1323和1373 K，应变速率为0.001、0.01、0.1和1 s-1，探究了AlCoCrFeNi0.6高熵合金在高温热压缩时，应力σ与应变ε、温度T和应变速率ε·之间的关系，并建立了基于二次非线性回归（DMNR）模型的本构方程。研究发现：在同一应变速率下，随着温度的升高，流动应力呈现下降趋势，在同一温度条件下，随着应变速率的升高，流动应力呈升高趋势，AlCoCrFeNi0.6高熵合金具有明显的应变速率强化和高温软化现象。基于DMNR模型回归建立了AlCoCrFeNi0.6高熵合金的高温本构方程，通过对比分析发现所建立的模型具有较好的预测性能，平均相对误差为9.94%。

The hot compression test of AlCoCrFeNi0.6 high entropy alloy was carried out by hot compression machinery Gleeble-3500 at test temperatures of 1223, 1273, 1323 and 1373 K and strain rates of 0.001, 0.01, 0.1 and 1 s-1, and the relationship between flow stress σ and strain ε, temperature T and strain rate ε· was explored. Then, the constitutive equation based on the double multipe nonlinear regression (DMNR) model was established. The results show that under the same strain rate, with the increasing of temperature, the flow stress shows a downward trend, and under the same temperature condition, the flow stress shows an increases trend with the increasing of strain rate. Therefore,AlCoCrFeNi0.6 high entropy alloy has obvious strain rate strengthening and high temperature softening phenomenon. Based on double multiple nonlinear regression (DMNR) model, the high-temperature constitutive equation of AlCoCrFeNi0.6 high entropy alloy is established. Through comparative analysis, it is found that the established model has good prediction performance, and the average relative error is 9.94%.

基金项目：

国防科技173计划技术领域基金（2021-JCJQ-JJ-0197）

刘太盈（1987-），男，硕士，工程师

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