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| 用人工神经网络分析Ni含量对新型空冷贝氏体钢CCT图的定量影响 | |
| 引用本文： | 刘亚秀,徐卫红,由伟,白秉哲,方鸿生.用人工神经网络分析Ni含量对新型空冷贝氏体钢CCT图的定量影响[J].华北科技学院学报,2007,4(1):52-57,84. |
| 作者姓名： | 刘亚秀 徐卫红 由伟 白秉哲 方鸿生 |
| 作者单位： | 1. 华北科技学院电信工程系,北京,东燕郊,101601 2. 华北科技学院机电工程系,北京,东燕郊,101601 3. 清华大学材料科学与工程系,北京,100084 |
| 摘 要： | 用人工神经网络模型分析了Ni含量对新型空冷贝氏体钢的连续冷却转变(CCT)图的定量影响.首先测试了神经网络模型的预测性能,对几种新型空冷贝氏体钢CCT图的预测结果和实测结果的比较说明我们设计的ANN模型具有较高的预测精度和可靠性.然后用人工神经网络模型分析了Ni含量对CCT图的定量影响.结果表明,Ni含量增加会使钢的奥氏体形成温度下降,推迟高温转变、中温转变和马氏体转变.人工神经网络模型的计算结果与材料科学理论相符. |
| 关 键 词： | 新型空冷贝氏体钢 CCT图 人工神经网络 Ni含量 定量影响 |
| 文章编号： | 1672-7169（2007）01-0052-06 |
| 收稿时间： | 2006-12-10 |
| 修稿时间： | 2006年12月10 |
Quantitative Analysis of Effects of Ni Content on CCT Diagrams of Novel Air-cooled Bainite Steels Using Artificial Neural Network Models |
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| LIU Ya-xiu,XU Wei-hong,YOU Wei,BAI Bing-zhe,FANG Hong-sheng.Quantitative Analysis of Effects of Ni Content on CCT Diagrams of Novel Air-cooled Bainite Steels Using Artificial Neural Network Models[J].Journal of North China Institute of Science and Technology,2007,4(1):52-57,84. | |
| Authors: | LIU Ya-xiu XU Wei-hong YOU Wei BAI Bing-zhe FANG Hong-sheng |
| Abstract: | The quantitative effects of Ni content on continuous cooling transformation(CCT)diagrams of novel air-cooled bainite steels were analysed using artificial neural network models.Firstly,the performance of the model was tested:the comparison of predicted and measured CCT diagrams of several steels showed that the ANN model used in this study has high prediction accuracy and reliability.Then,the artificial neural network model was used to analyse the quantitative effects of Ni contents on CCT diagram.The results showed that the Ni may retard the high-and medium-temperature and Martensite transformation.The results conform to the materials science theories. |
| Keywords: | Novel Mr-cooled bainite steels CCT diagrams Artificial neural network Ni content Quantitative effects |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |