An Artificial Neural Network System for Heating-Path Prediction in Induction Heating Process for Concave Curved Surface Forming

Title
An Artificial Neural Network System for Heating-Path Prediction in Induction Heating Process for Concave Curved Surface Forming
Author(s)
김재웅양영수[양영수]T.-T. Nguyen[T.-T. Nguyen]
Keywords
STEEL PLATE; DEFORMATION
Issue Date
201402
Publisher
KOREAN SOC PRECISION ENG
Citation
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.15, no.2, pp.259 - 265
Abstract
This paper presents the development of an artificial neural network (ANN) model for the prediction of heating-line or heating-triangle positions and their parameters in induction heating process to form a desired shape of plate, especially a concave curved surface. This model of ANN can help manufacturers to determine the positions of induction heating lines or triangles and their parameters to form a desired shape of plate. The vertical displacements and transverse shrinkage of nodes on the plate are used as inputs to the network and the selected induction heating positions and the parameters are the output of the models. The training data for the ANN model are obtained using an analytical solution based on laminated plate theory combined with Finite Element Method (FEM) solutions. A feed-forward ANN with 242-400-490 arrangement was developed for predicting the induction heating conditions. 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 induction heating process for forming a desired concave curved surface.
URI
http://hdl.handle.net/YU.REPOSITORY/33202http://dx.doi.org/10.1007/s12541-014-0333-x
ISSN
2234-7593
Appears in Collections:
공과대학 > 기계공학부 > Articles
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