李红英,胡继东,康巍,李阳华,林武

• 1:中南大学材料科学与工程学院
• 2:南车株洲电力机车有限公司
• 3:衡阳钢管(集团)有限公司

摘要(Abstract)：

采用RBF神经网络对204组X70管线钢生产数据进行训练,建立了管线钢成分与力学性能的预测模型,经检验该模型预报精度高,网络预报值与实际值较吻合。利用此模型预报了C、Mn、Mo、Nb、V、Ti等元素含量对管线钢性能的影响规律,并在此基础上确定了X80管线钢的成分范围。对试制生产的X80管线钢进行组织性能检测,结果表明,X80钢的显微组织主要由针状铁素体和粒状贝氏体组成,晶粒细小,力学性能指标达到X80管线钢应用要求。

关键词(KeyWords)： RBF神经网络;成分设计;X80管线钢;组织性能

Abstract:

Keywords:

基金项目(Foundation): 湖南省重大科技专项

作者(Author): 李红英,胡继东,康巍,李阳华,林武

DOI: 10.13289/j.issn.1009-6264.2012.12.029

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