锻压技术

改进的Fields-Backofen本构模型描述AZ80镁合金热压缩流动应力的比较研究

英文标题：A comparative study on thermal compression flow stress of AZ80 magnesium alloy described by improved Fields-Backofen constitutive model

作者：李全金朝阳

单位：1.深圳市建安（集团）股份有限公司深圳市建安劳务有限公司 2.扬州大学机械工程学院

关键词：热变形 AZ80镁合金高温流动应力唯象模型 Fields-Backofen模型

分类号：TG146.2

出版年,卷(期):页码：2021,46(3):221-228

摘要：

基于铸态AZ80镁合金在应变速率为0.001~1 s-1、变形温度为523~673 K下的热压缩试验，分别建立了原始的和改进的Fields-Backofen（F-B）模型来描述该合金的热压缩变形行为，通过线性拟合方法确定模型中的材料参数。结果发现：原始的F-B模型仅能够描述加工硬化现象，难以准确描述合金的热变形行为；而包含软化项s的改进的F-B模型中，综合考虑了加工硬化和动态软化效应，既可以相对准确地描述加工硬化阶段的流动应力，也可以描述流动软化阶段的流动应力，其相关系数R和平均绝对相对误差AARE的计算值分别为0.9858和7.07%；然而，改进的F-B模型不能描述稳态阶段的流动应力，其预测误差可能是由于使用在所有试验条件下获得的材料参数b和s的平均值引起的。

Based on the thermal compression tests of as-cast AZ80 magnesium alloy under the strain rates of 0.001-1 s-1 and the deformation temperature of 523-673 K, the original and improved Fields-Backofen (F-B) models were established to describe the thermal compression deformation behavior of alloy, and the material parameters in the model were determined by linear fitting method. The results show that the original F-B model can only describe the work hardening phenomenon, and it is difficult to accurately describe the thermal deformation behavior of alloy. However, the improved F-B model including the softening term s comprehensively considers the work hardening and dynamic softening effects, the improved F-B model can not only describe the flow stress in the work hardening stage relatively accurately, but also the flow stress in the flow softening stage. Furthermore, the calculated values of correlation coefficient R and average absolute relative error AARE are 0.9858 and 7.07%, respectively. In addition, the improved F-B model cannot describe the flow stress in the steady-state stage, and the prediction error may be caused by the use of the average values for material parameters b and s obtained under all experimental conditions.

基金项目：

国家自然科学基金资助项目（51901202）；江苏省自然科学基金面上项目（BK20191442）

李全（1993-），男，硕士，助理工程师 E-mail：quanli1993@qq.com 通讯作者：金朝阳（1973-），女，博士，教授 E-mail：zyjin@yzu.edu.cn

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