Prediction of deformations of steel plate by artificial neural network in forming process with induction heating

Abstract

To control a heat source easily in the forming process of steel plate with heating, the electro-magnetic induction process has been used as a substitute of the flame heating process. However, only few studies have analyzed the deformation of a workpiece in the induction heating process by using a mathematical model. This is mainly due to the difficulty of modeling the heat flux from the inductor traveling on the conductive plate during the induction process. In this study, the heat flux distribution over a steel plate during the induction process is first analyzed by a numerical method with the assumption that the process is in a quasi-stationary state around the inductor and also that the heat flux itself greatly depends on the temperature of the workpiece. With the heat flux, heat flow and thermo-mechanical analyses on the plate to obtain deformations during the heating process are then performed with a commercial FEM program for 34 combinations of heating parameters. An artificial neural network is proposed to build a simplified relationship between deformations and heating parameters that can be easily utilized to predict deformations of steel plate with a wide range of heating parameters in the heating process. After its architecture is optimized, the artificial neural network is trained with the deformations obtained from the FEM analyses as outputs and the related heating parameters as inputs. The predicted outputs from the neural network are compared with those of the experiments and the numerical results. They are in good agreement.

Automated local line rolling forming and simplified deformation simulation method for complex curvature plate of ships

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Forming Complicated Surface in Shipyard Using Neural Network System

“…In the present study an attempt has been made towards the applications of ANN system in modeling the processing route with predictability of the systems parameters in induction line heating [2,3]. They are being used in the areas of prediction and classification, areas where nonlinear models and other related statistical techniques have traditionally been used.…”

Artificial neural network prediction of weld distortion rectification using a travelling induction coil

“…More recently, research has shown that a travelling induction coil can also be used to bend steel plate in a forming process [17,18]. These studies determined that the bending distortion caused in the process is predictable and, similar to welding, the bending effect is primarily influenced by the travel speed of the coil (the heat input) and the thickness of the plate.…”

“…ANN models have also been employed to predict the bending behaviour of steel when subjected to heating with a travelling induction coil [18]. The model produced by Ngyuyen et al [18] considered the bending produced by induction heating on unwelded steel plates and demonstrated the ability of ANNs to accurately predict the resulting distortion based upon a given set of heating parameters.…”

“…The model produced by Ngyuyen et al [18] considered the bending produced by induction heating on unwelded steel plates and demonstrated the ability of ANNs to accurately predict the resulting distortion based upon a given set of heating parameters.…”