A constitutive model of high temperature deformation of NiTi alloy based on neural network

作者：He Yong^*; Zhang Honggang; Liu Xuefeng; Me Hanxin

来源：Rare Metal Materials and Engineering, 2008, 37(1): 19-23.

• Ni-Ti shape memory alloy
• neural network
• constitutive relationship

On the basis of the compression experiment data obtained from Gleeble-1500 Thermal Simulator, the predicting models for the relation between true stress and true strain, strain rate and temperature for Ti-50.5 Ni alloy have been developed with BP(back propagation) Artificial Neural Network method. The results show that, it is feasible to establish high temperature compression deformation constitutive relation model of Ti-50.5 Ni alloy by BPNN method. The fitting degree of the BPNN model is less than 1.3%, and can reflect the real feature of the practical deforming process. The deficiency of traditional regression model, which cannot describe the whole deforming process is filled up. The sample error caused by the deviation of actual temperature from the set temperature and its effect on the model accuracy are eliminated in the experiment.

• 出版日期2008-1
• 单位北京科技大学