基于神经网络的Ti-Ni-Cr形状记忆合金超弹性研究  

Research on Superelasticity of Ti-Ni-Cr Shape Memory Alloy Based on BP Neural Network

作　　者：罗娜[1] 张永选[1] 

机构地区：[1]江西经济管理干部学院信息工程系,江西南昌330088

出　　处：《铸造技术》2013年第9期1127-1129,共3页Foundry Technology

摘　　要：研究了不同退火温度和应力—应变循环次数对Ti-Ni-Cr形状记忆合金超弹性的影响。通过实验,采集了在退火温度和应力—应变循环次数共同作用下的Ti-Ni-Cr合金的残余应变和能耗值,采用BP神经网络方法,对其进行了分析预测。预测结果表明,使用BP神经网络方法,能够很好的预测Ti-Ni-Cr合金的超弹性。The superelasticity of Ti-Ni-Cr shape memory alloy at different annealing temperature and stress-strain cycles was studied. The residual strain and energy consumption of Ti-Ni-Cr shape memory alloy were Sammelned under joint action between annealing temperature and stress-strain cycles, and which were analyzed and predicted using the principle of BP neural network. The results show that using BP neural network can well predict the superelasticity of Ti-Ni-Cr shape memory alloy.

关 键 词：Ti-Ni-Cr形状记忆合金 超弹性 BP神经网络 退火温度 应力-应变循环 

分 类 号：TG139.6[一般工业技术—材料科学与工程]