修正Zerilli-Armstrong模型预测Cu-Sn合金的高温流变应力
Prediction of high temperature flow stress of Cu-Sn alloy by modified Zerilli-Armstrong model
李清阳 1蔡军 1李冲冲 1鱼祎雯1
作者信息
- 1. 西安建筑科技大学冶金工程学院 功能材料加工国家地方联合工程研究中心,陕西 西安 710055
- 折叠
摘要
在变形温度为823～973 K,应变速率为0.001～1 s-1 及真应变为0.9 的条件下,采用Gleeble-3500 热模拟实验机对Cu-Sn合金进行了热压缩实验,分析了其热变形行为.基于Cu-Sn合金的热压缩实验结果,利用多元线性回归建立了描述合金热变形特征的修正Zerilli-Armstrong模型.引入了相关系数(R)和平均相对误差(AARE)对模型的精度进行评估.结果表明:Cu-Sn合金的流动应力受变形温度和应变速率的影响显著,流动应力随应变速率的增大和变形温度的降低而增大,流动应力呈现锯齿状抖动是加工硬化与流动软化之间竞争的结果;修正Zerilli-Armstrong模型的预测应力值与实验应力值的R和AARE值分别为 0.986和 7.12%,表明该模型的精度较高,能够准确地描述Cu-Sn合金的高温流动行为.
Abstract
Under the conditions of deformation temperature of 823-973 K,strain rate of 0.001-1 s-1 and true strain of 0.9,hot compression experiments were conducted on Cu-Sn alloy using Gleeble-3500 thermal simulation testing machine to analyze its hot deformation behavior.Based on the hot compression experimental results of Cu-Sn alloy,a modified Zerrilli-Armstrong model was established using multiple linear regression to describe the hot deformation characteristics of the alloy.The correlation coefficient(R)and average absolute relative error(AARE)were introduced to evaluate the accuracy of the model.The results show that the flow stress of the Cu-Sn alloy is significantly affected by deformation temperature and strain rate,the flow stress increases with the increase of strain rate and the decrease of deformation temperature,and the serrated jitter of the flow stress is the result of the competition between work hardening and flow softening.The R and AARE values of the predicted stress values of the modified Zerelli-Armstrong model and experimental stress values are 0.986 and 7.12%,respectively,indicating that the model has high accuracy and can accurately describe the high-temperature flow behavior of the Cu-Sn alloy.
关键词
Cu-Sn合金/热压缩实验/本构方程/热变形行为Key words
Cu-Sn alloy/hot compression experiment/constitutive equation/thermal deformation behavior引用本文复制引用
基金项目
国家重点研发计划(2022YFB3804001)
国家自然科学基金(52374400)
陕西省教育厅产业化项目(21JC020)
出版年
2024
NETL
NSTL
万方数据