caa a22 4500 510823785 CHVBK 20190416140728.0 cr unu---uuuuu 180411e20130401xx s 000 0 eng 10.1007/s12541-013-0075-1 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0075-1 An artificial neural network system for predicting the deformation of steel plate in triangle induction heating process [Elektronische Daten] [Truong-Thinh Nguyen, Young-Soo Yang, Jae-Woong Kim] This paper presents the development of an artificial neural network (ANN) model to predict the positions and sizes of induction triangle heating based on laminated plate theory combined with Finite Element Method (FEM) solutions. The vertical displacements and transverse shrinkage of nodes on the plate are used as inputs to the network and the position of the heating triangles on the plate, heated surface, and size of the heating triangles are the outputs of the models. The developed feed-forward ANN with 242-100-72 arrangement is capable of estimating all necessary conditions for the induction triangle heating process. The training patterns of the neural network are obtained using an analytical solution derived from the plate laminate theory to predict the plate deformations in the induction heating process. The developed neural network model is tested to demonstrate its feasibility for determining the heating positions on the surface of a flat steel plate in the triangle induction heating process for forming a desired shape. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Artificial Neural Network nationallicence Induction Heating nationallicence Triangle Heating nationallicence Forming plate nationallicence Nguyen Truong-Thinh Department of Mechatronics, Ho Chi Minh city University of Technical Education, 70000, Ho Chi Minh City, Viet Nam aut Yang Young-Soo Department of Mechanical Engineering, Chonnam National University, 500-757, Kwangju, Korea aut Kim Jae-Woong School of Mechanical Engineering, Yeungnam University, 712-749, Kyongsan, Korea aut International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/4(2013-04-01), 551-557 2234-7593 14:4<551 2013 14 12541 https://doi.org/10.1007/s12541-013-0075-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0075-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Nguyen Truong-Thinh Department of Mechatronics, Ho Chi Minh city University of Technical Education, 70000, Ho Chi Minh City, Viet Nam aut NATIONALLICENCE 700 1- Yang Young-Soo Department of Mechanical Engineering, Chonnam National University, 500-757, Kwangju, Korea aut NATIONALLICENCE 700 1- Kim Jae-Woong School of Mechanical Engineering, Yeungnam University, 712-749, Kyongsan, Korea aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Korean Society for Precision Engineering 14/4(2013-04-01), 551-557 2234-7593 14:4<551 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence SWISSBIB 510823785 BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer