Using Neural Network for Predicting Induction-heating Paths in Shipyard

Abstract

This paper presents the development of an artificial neural network model for the prediction of heating-line positions in induction heating process. This model helps shipyard manufacturers determine the positions of induction heating lines and their heating parameters to form a desired shape of plate. The vertical displacements of plate have been considered as the input parameters and the selected induction heating lines as output parameters to develop the model. The training patterns of neural network are obtained using an analytical solution that predicts plate deformations in induction heating process. The developed neural network model is tested to show its feasibility to determine the heating positions on the surface of a flat steel plate in the line heating process for forming a desired shape.