无取向电工钢高温变形行为的构造模型与机器学习的比较

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Gyanaranjan Mishra, Jubert Pasco, Thomas McCarthy, Kudakwashe Nyamuchiwa, Youliang He, Clodualdo Aranas
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引用次数: 0

摘要

热轧是无取向电工钢(NOES)获得最佳机械和磁性能的关键热机械加工步骤。根据硅和碳含量的不同,电工钢在热轧过程中可能会也可能不会发生奥氏体-铁素体相变,这就需要不同的工艺控制,因为奥氏体和铁素体在高温下表现出不同的流动应力。本文通过热压缩试验研究了硅含量分别为 1.3 和 3.2 wt%的两种无取向电工钢的高温流动行为。热变形温度范围为 850 至 1050 °C,应变速率范围为 0.01 至 1.0 s-1。测量到的应力-应变数据使用各种构成模型(结合优化技术)进行拟合,即约翰逊-库克模型、改进的约翰逊-库克模型、齐纳-霍洛蒙模型、亨塞尔-斯皮特尔模型、改进的亨塞尔-斯皮特尔模型和改进的泽里利-阿姆斯特朗模型。研究结果还与基于深度神经网络(DNN)的模型进行了比较。结果表明,在所有构成模型中,Hensel-Spittel 模型的平均绝对相对误差最小,而 DNN 模型可以在整个温度、应变率和应变范围内完美跟踪几乎所有的实验流动应力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constitutive Modeling of High‐Temperature Deformation Behavior of Nonoriented Electrical Steels as Compared to Machine Learning
Hot rolling is a critical thermomechanical processing step for nonoriented electrical steel (NOES) to achieve optimal mechanical and magnetic properties. Depending on the silicon and carbon contents, the electrical steel may or may not undergo austenite–ferrite phase transformation during hot rolling, which requires different process controls as the austenite and ferrite show different flow stresses at high temperatures. Herein, the high‐temperature flow behaviors of two nonoriented electrical steels with silicon contents of 1.3 and 3.2 wt% are investigated through hot compression tests. The hot deformation temperature is varied from 850 to 1050 °C, and the strain rate is differentiated from 0.01 to 1.0 s−1. The measured stress‐strain data are fitted using various constitutive models (combined with optimization techniques), namely, Johnson–Cook, modified Johnson–Cook, Zener–Hollomon, Hensel–Spittel, modified Hensel–Spittel, and modified Zerilli–Armstrong. The results are also compared with a model based on deep neural network (DNN). It is shown that the Hensel–Spittel model results in the smallest average absolute relative error among all the constitutive models, and the DNN model can perfectly track almost all the experimental flow stresses over the entire ranges of temperature, strain rate, and strain.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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