Superplasticity prediction and application of albronze based on artificial neural network

Abstract

The superplastic performances prediction of albronze based on artificial neural network was studied in this paper. Used Levenberg-Marquardt algorithm, the predication model of BP neural network which reflects the relationship between the superplastic performances and tension conditions was founded. The superplasticity and optimized condition of albronze were forecasted and the superplastic extrusion tests of solid cage was produced also. The results showed that the error of tests data and prediction was less than 8.5%. It was indicated that the prediction of albronze superplasticity used artificial neural network was effective and feasible.