中國有色金屬學(xué)報(bào)(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 11 No. 2 April 2001 |
artificialneural networks
LIU Xue-feng(劉雪峰)1， HUANG Guang-jie(黃光杰)1
（1. College of Materials Science and Engineering,
Chongqing University, Chongqing 400044, P.R.China;
2. Southwest Aluminum Fabrication Plant, Chongqing 401326, P.R.China）
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%.
Key words: Al-Li alloy; high temperature plastic deformation; flow stress; neural networks
