A354合金热处理制度的人工神经网络模型  

The Artificial Neural Network Model of Heat Treating Regime of A354 Alloy

作　　者：李润霞[1] 李荣德[1] 孙海军[1] 刘贵立[1] 李晨曦[1] 胡壮麒[2] 

机构地区：[1]沈阳工业大学材料科学与工程学院 [2]中国科学院金属研究所,辽宁沈阳110016

出　　处：《铸造》2004年第3期228-230,共3页Foundry

摘　　要：采用人工神经网络方法,研究了固溶温度、固溶时间、时效温度和时效时间对A354合金热处理性能的影响,建立了A354合金热处理制度的人工神经网络模型。These effects of the heat treating process of A354 alloy on solution temperature and time,aging temperature and time had been studied with,artificial neural network.The result showed that the influence of heat treatment regime on the hardness of alloy was a complex non-linear system,and a artficial neural network model was created for heat treatment regime of A354 alloy.

关 键 词：铸造铝合金 人工神经网络 BP算法 

分 类 号：TG156[金属学及工艺—热处理]