Application of Neural Networks in Extrusion Process

摘要

In this study, artificial neural networks are used to predict die yielding and load requirements in rod and tube extrusion processes for the given geometrical and material parameters. Training data are generated using finite element analyses of 39 cases. Six data are used for validation of ANN predictions. It is observed, neural network predictions are quite close to the actuals.