Prediction of flow stress of Ti-15-3 alloy with artificial neural network

被引：0

作者：

Li, P. ^{[1
]}

Shan, D.B. ^{[1
]}

Xue, K.M. ^{[1
]}

Lu, Y. ^{[1
]}

Xu, Y. ^{[1
]}

机构：

[1] Sch. of Materials Sci., Harbin Inst. of Technol., Harbin 150001, China

来源：

Transactions of Nonferrous Metals Society of China (English Edition) | 2001年 / 11卷 / 01期

关键词：

Flow of fluids - Forecasting - Hot pressing - Neural networks - Strain rate - Stresses;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Hot compression experiments were conducted on Ti-15-3 alloy specimens using Gleeble-1500 thermal simulator. These tests were focused to obtain the flow stress data under various conditions of strain, strain rate and temperature. On the basis of these data, the predicting model for the nonlinear relations between flow stress and deformation strain, strain rate and temperature for Ti-15-3 alloy was developed with the back-propagation artificial neural network method. Results show that the neural network can reproduce the flow stress in the sampled data and predict the nonsampled data well. Thus it has been verified that the neural network method can be used to tackle hot deformation problems of Ti-15-3 alloy.

引用

页码：95 / 97