含硼微合金钢奥氏体晶粒尺寸神经网络模型  

Neural Network Model of Austenite Grain Size in B Microalloyed Alloy

作　　者：李立新[1] 孙瑞峰[1] 汪凌云[2] 

机构地区：[1]武汉科技大学,武汉430081 [2]重庆大学

出　　处：《特殊钢》2002年第2期28-29,共2页Special Steel

摘　　要：以Gleeble 15 0 0热模拟机试验数据为基础 ,建立了含硼微合金钢高温奥氏体晶粒尺寸与热加工工艺参数间的回归统计及BP网络模型 ,结果表明 :BP网络模型具有较高的预报精度。Based on the experimental data by Gleeble 1500 hot simulation unit, a regression statistics analysis and a BP network model for relation between austenite grain size and hot working parameters of boron microalloyed steel has been established. The results show that the predication accuracy of BP network model is better than that of regression analysis. <

关 键 词：奥氏体 神经网络模型 晶粒尺寸 BP网络模型 微合金钢 

分 类 号：TG142.7[一般工业技术—材料科学与工程]