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基于人工神经网络之反向传播算法的50A1300钢铁热变形流变应力的预测
Hot Forming Flow Stress Prediction of Steel 50A1300 by BPA ANN
作者:Zhengxin TANG;Xudong ZHOU 作者单位:Physics & Engineering College Henan University of Science & Technology Luo Yang, 471003,China;Material Science & Engineering College Henan University of Science & Technology Luo Yang,471003, China 加工时间:2014-03-27 信息来源:科技报告(other) 索取原文[5 页]
关键词:钢铁;热变形;流变应力;无取向硅钢;人工神经网络;反向传播算法
摘 要:The researches of non-oriented silicon steel are mainly focused on the effect of main processing parameters on the microstructure and magnetic properties,but there have been few studied about its flow stress until now.In this paper,the hot deformation of non-oriented silicon steel 50A1300 is studied by thermal-mechanical simulation method.The hot deformation behavior of the steel is explored and the flow stress prediction of the steel is established based on a kind of BPA ANN.A piecewise method is proposed in this paper,and the prediction with this new method has good accuracy.
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