Hot Deformation Behavior and Constitutive Relationships of Ni-40Ti Shape Memory Alloy

Zhu Lezong; Lu Shiqiang; Shu Xiaoyong; Wang Kelu

doi:10.15980/j.tzzz.2016.04.026

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Hot Deformation Behavior and Constitutive Relationships of Ni-40Ti Shape Memory Alloy
Vol. 36, Issue 4, Pages: 425-429(2016)
Published： 2016 ，
DOI： 10.15980/j.tzzz.2016.04.026

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[1]朱乐宗,鲁世强,舒小勇,王克鲁.Ni-40Ti形状记忆合金热变形行为及本构关系的建立[J].特种铸造及有色合金,2016,36(04):425-429.

Zhu Lezong, Lu Shiqiang, Shu Xiaoyong, et al. Hot Deformation Behavior and Constitutive Relationships of Ni-40Ti Shape Memory Alloy. [J]. Special Casting & Nonferrous Alloys 36(4):425-429(2016)
[1]朱乐宗,鲁世强,舒小勇,王克鲁.Ni-40Ti形状记忆合金热变形行为及本构关系的建立[J].特种铸造及有色合金,2016,36(04):425-429. DOI： 10.15980/j.tzzz.2016.04.026.

Zhu Lezong, Lu Shiqiang, Shu Xiaoyong, et al. Hot Deformation Behavior and Constitutive Relationships of Ni-40Ti Shape Memory Alloy. [J]. Special Casting & Nonferrous Alloys 36(4):425-429(2016) DOI： 10.15980/j.tzzz.2016.04.026.

摘要

在Gleeble-3500热/力模拟试验机上对轧态Ni-40Ti形状记忆合金进行等温恒应变速率拉伸试验

研究了变形温度为650

50℃

应变速率为0.01

.00s

-1

条件下合金的热变形行为。结果表明

应变速率和变形温度对流变应力具有显著影响

合金流变应力随着变形温度升高和应变速率降低而降低。基于Arrhenius方程和多元线性回归法构建了合金本构关系模型。误差分析表明

采用Arrhenius方程预测轧态Ni-40Ti合金的热拉伸变形行为存在较大误差;而采用多元线性回归法建立的本构模型能较准确预测轧态Ni-40Ti合金的热拉伸变形行为

流变应力预测值与试验值符合较好。

Abstract

The hot deformation behavior of as-rolled Ni-40 Ti shape memory alloy was investigated by the Gleeble-3500 thermal simulation machine at deformation temperature in range of 650 ℃ to 850 ℃ and strain rate in range of 0.01s

-1

to 1.00s

-1

.The results show that the flow stress of Ni-40 Ti shape memory alloy is affected greatly by strain rate and deformation temperature

and the flow stress is decreased with the increase of deformation temperature and the decrease of strain rate.The hot deformation constitutive relationship is established based on the Arrhenius equation and multivariate linear regression equation

respectively.The error analysis shows that there exists large error between the value of experiment stress and calculated one by the Arrhenius equation.Therefore

the multivariate linear regression constitutive model is more appropriate for the prediction of flow stress of Ni-40 Ti shape memory alloy

whose average relative error is very small.