模式识别要因分析和优化决策方法辅助分析船板钢冲击韧性  

Key Factor Analysis and Optimal Decision Making by Pattern Recognition for Improving Impact Toughness of Shipbuilding Steel Plate

作　　者：许立[1] 程兆年[1] 陈念贻[1] 李和平[1] 徐惟诚[1] 陈钰珊[1] 

机构地区：[1]中国科学院上海冶金研究所,宝钢集团,中国科学院上海冶金研究所材料物理化学研究室

出　　处：《钢铁研究学报》1995年第1期53-59,共7页Journal of Iron and Steel Research

摘　　要：本文提出了模式识别要因分析和优化决策方法，并应用该方法对提高船板钢冲击韧性的途径进行了分析和研究。得出了船板钢冲击韧性的关键影响因素和工艺优化途径。通过对高碳含量厚板钢的板卷试验和显微组织分析，验证了要因分析和优化决策得出的结论，即在现有样本集代表的船板钢成分条件下，卷取温度的控制对冲击韧性的改善有很大的作用。研究表明，该技术用于改善钢材质量有实际意义。In this paper,a method of key factor analysis (KFA)and optimal deci-sion making(ODM)was suggested based on pattern recognition,and used to seek a way of improving impact toughness,The key technological parameters affecting im-pact toughness and the optimal technological conditions improving the behavior of shipbuilding steel plate have been obtained.The plate test and the microstructure analysis verified the conclusion from KFA and ODM,The control of coiling tempera-ture would play a important role in improving the impact toughness when the avail-able compositions of shipbuilding steel plate were represented by the data set.The research in this work indicated that the KFA and ODM technique is a useful method for improving the quality of steel.

关 键 词：模式识别 碳素钢 冲击韧性 

分 类 号：TG142.31[一般工业技术—材料科学与工程]