回火温度对1000mpa级工程机械用钢应变硬化指数和流动应力曲线的影响

IF 3.1 2区 材料科学 Q1 METALLURGY & METALLURGICAL ENGINEERING
Yang Yun , Qing-wu Cai , Bao-sheng Xie , Shuang Li
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引用次数: 3

摘要

为研究回火温度对应变硬化指数和流动应力曲线的影响,设计了一种1000mpa级工程机械用低碳贝氏体钢,并在室温下进行了标准单轴拉伸试验。建立了一种新的流动应力模型,该模型能更有效地预测试验钢在不同回火温度下的流动行为。基于位错-应力关系,讨论了可动位错密度与应变硬化指数的关系。采用Arrhenius方程和反比例函数来描述移动位错,建立了回火温度与应变硬化指数关系的数学模型。对Arrhenius型模型进行非线性回归分析,得到活化能为37.6 kJ/mol。相关系数的平方为0.985,表明拟合曲线与实验数据具有较高的信度。通过与Arrhenius型曲线的对比,除存在一定的拟合误差外,反比拟合曲线的总体趋势与实验数据点基本吻合。因此,可以采用Arrhenius型模型预测不同回火温度下的应变硬化指数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of tempering temperature on strain hardening exponent and flow stress curve of 1000 MPa grade steel for construction machinery

To study the effect of tempering temperature on strain hardening exponent and flow stress curve, one kind of 1000 MPa grade low carbon bainitic steel for construction machinery was designed, and the standard uniaxial tensile tests were conducted at room temperature. A new flow stress model, which could predict the flow behavior of the tested steels at different tempering temperatures more efficiently, was established. The relationship between mobile dislocation density and strain hardening exponent was discussed based on the dislocation-stress relation. Arrhenius equation and an inverse proportional function were adopted to describe the mobile dislocation, and two mathematical models were established to describe the relationship between tempering temperature and strain hardening exponent. Nonlinear regression analysis was applied to the Arrhenius type model, hence, the activation energy was determined to be 37.6 kJ/mol. Moreover, the square of correlation coefficient was 0.985, which indicated a high reliability between the fitted curve and experimental data. By comparison with the Arrhenius type curve, the general trend of the inverse proportional fitting curve was coincided with the experimental data points except of some fitting errors. Thus, the Arrhenius type model can be adopted to predict the strain hardening exponent at different tempering temperatures.

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来源期刊
CiteScore
4.30
自引率
0.00%
发文量
2879
审稿时长
3.0 months
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