Prediction of flow stresses at high temperatures with artificialneural networks

来源期刊：中国有色金属学报(英文版)2001年第2期

论文作者：汪凌云 郑廷顺 刘雪峰 黄光杰

文章页码：213 - 216

Key words：Al-Li alloy; high temperature plastic deformation; flow stress; neural networks

Abstract: On the basis of the data obtained on Gleeble-1500 Thermal Simulator，the predicting models for the relation between stable flow stress during high temperature plastic deformation and deformation strain, strain rate and temperature for 1420 Al-Li alloy have been developed with BP artificial neural networks method. The results show that the model on basis of BPNN is practical and it reflects the actual feature of the deforming process. It states that the difference between the actual value and the output of the model is in order of 5%.