摘要
In order to predict and control the properties of Cu-Cr-Sn-Zn alloy,a model of aging processes via an artificial neural network(ANN) method to map the non-linear relationship between parameters of aging process and the hardness and electrical conductivity properties of the Cu-Cr-Sn-Zn alloy was set up.The results show that the ANN model is a very useful and accurate tool for the property analysis and prediction of aging Cu-Cr-Sn-Zn alloy.Aged at 470-510 ℃ for 4-1 h,the optimal combinations of hardness 110-117(HV) and electrical conductivity 40.6-37.7 S/m are available respectively.
In order to predict and control the properties of Cu-Cr-Sn-Zn alloy, a model of aging processes via an artificial neural network （ANN） method to map the non-linear relationship between parameters of aging process and the hardness and electrical conductivity properties of the Cu-Cr-Sn-Zn alloy was set up. The results show that the ANN model is a very useful and accurate tool for the property analysis and prediction of aging Cu-Cr-Sn-Zn alloy. Aged at 470-510 ℃ for 4-1 h, the optimal combinations of hardness 110-117 （HV） and electrical conductivity 40.6-37.7 S/m are available respectively.
基金
Project(2006AA03Z528) supported by the National High-Tech Research and Development Program of China
Project(102102210174) supported by the Science and Technology Research Project of Henan Province,China
Project(2008ZDYY005) supported by Special Fund for Important Forepart Research in Henan University of Science and Technology
