人工神经网络预测Si对空冷贝氏体钢CCT图的影响

材料热处理学报, 2009, 30(4): 198-202.

人工神经网络预测Si对空冷贝氏体钢CCT图的影响

徐雪霞 ^1, , 由伟 ^2, , 白秉哲 ^3, , 方鸿生 ^4,

1.清华大学材料科学与工程系,北京,100084;河北省电力研究院锅检技术研究所,河北,石家庄,050021

2.华北科技学院机械电子工程系,北京,101601

3.清华大学材料科学与工程系,北京,100084

4.清华大学材料科学与工程系,北京,100084

关键词：贝氏体钢 , CCT图 , 人工神经网络 , 预测

Quantitative analysis of effects of Si content on CCT diagrams of novel air-cooled bainite steels by artificial neural network

分析了Si对新型空冷贝氏体钢CCT图的影响.采用人工神经网络对Si含量对新型空冷贝氏体钢CCT图的影响进行了定量分析.结果表明,Si提高奥氏体形成温度,促进高温转变,抑制贝氏体转变和马氏体转变.

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人工神经网络预测Si对空冷贝氏体钢CCT图的影响

Quantitative analysis of effects of Si content on CCT diagrams of novel air-cooled bainite steels by artificial neural network

参考文献