| Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models |
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| 作者姓名： | Weihong Xu Wei You Yaxiu Liu Bingzhe Bai Hongsheng Fang |
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| 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 |
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| 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.
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| 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 |
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| 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. |
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| Authors: | Weihong;Xu;Wei;You;Yaxiu;Liu;Bingzhe;Bai;Hongsheng;Fang |
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| 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. |
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| Keywords: | novel air-cooled bainite steels nickel CCT diagrams artificial neural network |
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