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A Constitutive Description to Predict High-Temperature Flow Stress in Austenitic Stainless Steel 316

机译:构成例描述以预测奥氏体不锈钢316中的高温流应力

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The main focus of this paper is to predict the flow stress of Austenitic Stainless Steel-316 (ASS) in both non-Dynamic Strain Aging (non-DSA) and Dynamic Stain Aging (DSA) regime. A comparative study has been made on modified mechanical threshold stress (m-MTS) model and modified Khan-Huang-Liang (m-KHL) model to study the strain, strain rate-dependent & temperature dependant behaviour of materials. For this purpose, m-MTS model is developed in both non-DSA and DSA regime which comprise various material constants. Genetic algorithm optimization technique is used to optimize material constants for the model. Suitability of this model was evaluated by comparing the correlation coefficient, average absolute error and its standard deviation. The proposed m-MTS model could predict the elevated-temperature flow behaviour of ASS validating better agreement with the experimental data in both non-DSA and DSA regime compared to m-KHL model
机译:本文的主要重点是预测非动态菌株(非DSA)和动态染色衰老(DSA)制度的奥氏体不锈钢-316(ASS)的流量应力。对更改的机械阈值应力(M-MTS)模型和改性Khan-Huang-Liang(M-KHL)模型进行了比较研究,研究了材料的应变,应变率依赖性和温度依赖性行为。为此目的,M-MTS模型是在非DSA和DSA制度中开发的,其包括各种材料常数。遗传算法优化技术用于优化模型的材料常数。通过比较相关系数,平均绝对误差及其标准偏差来评估该模型的适用性。所提出的M-MTS模型可以预测ASS的升高温度流动,与M-KHL模型相比,与非DSA和DSA制度中的实验数据更好地验证

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