Prediction of the laser sheet bending using neural network

Abstract

In this paper, a neural network algorithm is used in predicting the future shape obtained by laser forming. Aluminum and steel samples were used and the thickness of the materials, the laser power beam and the scanning speed were the variable parameters of the process. The bending angles versus the number of scanning passes obtained experimentally are in good agreement with angle values given by the training process algorithm.