Prediction of Tensile Properties and Optimization of Electromagnetic Casting Process Parameters in ZL114A Alloys Using Artificial Neural Network and Orthogonal

Aluminum alloys’properties are sensitive to the electromagnetic casting process parameters very much,which have nonlinear interactive relationship with electromagnetic casting process parameters.In this study,a model was developed for the prediction of the correlation between electromagnetic casting process parameters and tensile properties in aluminum alloys using artificial neural network(ANN).The inputs of the neural network were electromagnetic casting process parameters.including electric field,magnetic field and pouring temperature.The outputs of the model were the tensile properties.including ultimate strength and elongation.The optimal results achieved from the integrated ANN and orthogonal were tested by using experimental results.Consequently,it can be suggested that the combined approach of ANN and orthogonal provides a novel way with respect to the optimization of processing parameters in the field of materials scienc.