摘要
基于BP神经网络法,利用均匀化退火工艺改善AZ91镁合金的组织结构,获得了不同退火状态下材料的力学特性参数。结果表明,BP神经网络能够很好地映射热处理工艺与材料性能间的关系,实验值与预测值重合度很好。
Based on BP neural network,the mechanical properties parameters of AZ91 magnesium alloy under different annealing conditions were obtained by homogenizing annealing. The results show that BP neural network can map relationship between heat treatment process and material properties very well,and prediction accuracy is very good.
出处
《兵器材料科学与工程》
CAS
CSCD
北大核心
2013年第6期58-61,共4页
Ordnance Material Science and Engineering
基金
浙江省教育厅科研资助项目(Y201122496)
浙江省科技计划项目资助(2012C31018)
绍兴市科技计划项目(2012B70026)
关键词
AZ91镁合金
均匀化退火
BP神经网络
力学特性
AZ91 magnesium alloy
homogenizing annealing
BP neural network
mechanical properties
