Prediction of superplastic properties of lead brass based on BP neural network

The predicting model for relationship between elongation and deformation parameters of superplastic lead brass has been established based on standard feedforward BP neural network. The elongation of the superplastic lead brass can be effectively predicted, such as maximum error lower than 4.81%, by training the established model based on experimental data, realizing the non-linear mapping between different deformation parameters and elongation. The predicted values of the elongation is well in agreement with experimental results, which provides a reference to theory and experiment of superplastic forming parameters of lead brass bearing cage.