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Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models
引用本文:Weihong Xu Wei You Yaxiu Liu Bingzhe Bai Hongsheng Fang. Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models[J]. 北京科技大学学报(英文版), 2005, 12(5): 410-415
作者姓名:Weihong Xu Wei You Yaxiu Liu Bingzhe Bai Hongsheng Fang
作者单位:[1]Department of Mechanical and Electrical Engineering, North China Institute of Science and Technology, Beijing 101601, China [2]Department of Electronics and Information Engineering, North China Institute of Science and Technology, Beijing 101601, China [3]Department of Materials Science and Engineering, Tsinghua University, Beijing 100084, China
摘    要:The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard the high- and medium-temperature transformation and martensite transformation. The results conform to the materials science theories.

关 键 词:空气冷却贝氏体钢 镍含量 CCT图表 人工神经网络 合金钢
收稿时间:2005-01-19

Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models
Weihong;Xu;Wei;You;Yaxiu;Liu;Bingzhe;Bai;Hongsheng;Fang. Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models[J]. Journal of University of Science and Technology Beijing, 2005, 12(5): 410-415
Authors:Weihong  Xu  Wei  You  Yaxiu  Liu  Bingzhe  Bai  Hongsheng  Fang
Abstract:The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard the high- and medium-temperature transformation and martensite transformation. The results conform to the materials science theories.
Keywords:novel air-cooled bainite steels  nickel  CCT diagrams  artificial neural network
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