基于混沌神经网络的Ti75合金变形行为研究  

Deformation Behavior of Alloy Ti75 Based on Chaotic Neural Network

作　　者：万树峰[1] 

机构地区：[1]齐齐哈尔大学,黑龙江齐齐哈尔161006

出　　处：《铸造技术》2014年第6期1163-1166,共4页Foundry Technology

摘　　要：采用压缩实验方法对Ti75合金的变形行为进行研究,并用混沌神经网络进行预测。结果表明,在温度为800℃、变形速率为0.000 5 s-1和温度为850℃、变形速率为0.100 0 s-1时,Ti75合金的m值均大于0.3。合金晶内位错运动是变形机制和调节机制共同作用的结果,并且混沌神经网络的预测误差在1%以内。TThe deformation behavior of the alloy Ti75 was investigated by compression experiments, and the deformation behavior was also predicted by a chaotic neural network model. The results show that the m values of the alloy Ti75 are greater than 0.3 in the conditions of 800 ℃, 0.000 5 s^ -1 and 850 ℃, 0.100 0 s^-1. The intragranular dislocation movement is caused by both deformation mechanism and regulating mechanism. And the prediction errors of the chaotic neural network are in the scale of 1%.

关 键 词：TI75合金 混沌神经网络 变形行为 

分 类 号：TG146.23[一般工业技术—材料科学与工程]