热处理工艺对2A97Al-Li合金拉伸性能的影响:实验和BP人工神经网络模拟(英文)  

Effect of heat treatment process on tensile properties of 2A97 Al-Li alloy:Experiment and BP neural network simulation

作　　者：林毅[1] 郑子樵[1] 张海锋[1] 韩烨[1] 

机构地区：[1]中南大学材料科学与工程学院,长沙410083

出　　处：《中国有色金属学会会刊：英文版》2013年第6期1728-1736,共9页Transactions of Nonferrous Metals Society of China

摘　　要：研究热处理工艺对2A97Al-Li合金拉伸性能的影响。结果表明:从传统T8工艺改进的、具有预时效和中间变形的热处理工艺可以有效地改进Al-Li合金的拉伸性能。合金经该热处理工艺处理后,在峰时效条件下,基体中析出大量的T1相,同时,晶界无第二相析出,并且晶界上无沉淀析出带不明显。峰时效合金的抗拉强度、屈服强度和伸长率分别为597MPa、549MPa和7.4%。此外,建立BP人工神经网络模型对经不同热处理工艺处理的合金的拉伸性能进行预测,所得预测结果与实验结果吻合较好,表明该人工神经网络模型可用于预测2A97Al-Li合金的拉伸性能。Effects of heat treatment processes on tensile properties of 2A97 Al?Li alloy were investigated. The results show that one new heat treatment process which was developed from traditional T8 temper can effectively improve the tensile properties of Al?Li alloy. In the peak-aged condition, a large quantity of fine T1 dispersedly precipitated in the matrix. At the same time, few secondary phases precipitated at the grain boundaries, and precipitation-free zone was unobvious. The corresponding tensile strength, yield strength and elongation of alloy were 597 MPa, 549 MPa and 7.4%, respectively. In addition, BP neural network model was developed for prediction of the tensile properties of alloy subjected to different heat treatment processes. A very good correlation between experimental and predicted results was obtained, which indicates that the BP neural network can be used for the prediction of tensile properties of 2A97 Al?Li alloy.

关 键 词：2A97AL-Li合金 热处理工艺 拉伸性能 BP人工神经网络 

分 类 号：TG166[金属学及工艺—热处理] TP183[金属学及工艺—金属学]