The austenitic peak stress model of low-alloy steel at elevated temperature based on the valence electron theory

Xu-dong Zhou, X. Liu, Zhenglin Chen
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引用次数: 0

Abstract

The traditional method of calculating the high-temperature austenite peak stress empirical model proposed by Sellars and McTegart has been used for 50 years. A new method based on the valence electron theory is presented in three steps. The first step is to calculate the austenitic valence electron parameters and their statistical values at high temperature. The second one is to calculate the binding energy and total binding energy based on the valence electron statistic parameters. The total binding energy is defined as the sum of the mole fractions of the constituent elements in low alloy steel and the corresponding binding energy. The last step is to establish the model of austenitic peak stress at elevated-temperature based on the combination of Hall-Petch formula and Misaka formula as well as the total binding energy. The prediction results show that the austenitic peak stress model presented in this paper has good precision.
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基于价电子理论的低合金钢高温奥氏体峰值应力模型
Sellars和McTegart提出的高温奥氏体峰值应力经验模型的传统计算方法已经使用了50年。基于价电子理论,分三步提出了一种新的方法。第一步是计算高温下奥氏体价电子参数及其统计值。第二种是根据价电子统计参数计算结合能和总结合能。总结合能定义为低合金钢中组成元素的摩尔分数与相应结合能的总和。最后一步是基于Hall-Petch公式和Misaka公式以及总结合能,建立奥氏体高温峰值应力模型。预测结果表明,本文提出的奥氏体峰值应力模型具有良好的精度。
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来源期刊
CiteScore
1.20
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0.00%
发文量
3
期刊介绍: IJCMSSE is a refereed international journal that aims to provide a blend of theoretical and applied study of computational materials science and surface engineering. The scope of IJCMSSE original scientific papers that describe computer methods of modelling, simulation, and prediction for designing materials and structures at all length scales. The Editors-in-Chief of IJCMSSE encourage the submission of fundamental and interdisciplinary contributions on materials science and engineering, surface engineering and computational methods of modelling, simulation, and prediction. Papers published in IJCMSSE involve the solution of current problems, in which it is necessary to apply computational materials science and surface engineering methods for solving relevant engineering problems.
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