Prediction of the Flow Stress of AZ31 Magnesiumagnesium Alloy Using Artificial Neural Network
LIU Xintian1 GUO Jingjie2 ( 1.Anyang Institute of Technology,Anyang 455000,China; 2.Zhengzhou University,Zhengzhou,450000,China)
On the basis of the data obtained on Gleeble-3500 thermal simulator,the predicting models for the relationship between the flow stress and deformation strain,strain rate and temperature for the AZ31 magnesium alloy containing Sb and RE have been developed with the artificial neural network method. The simulation analysis proved that the network gives better results.
【CateGory Index】： TG113.25