Advanced Search  
JWJ > Volume 21(4); 2003 > Article
Journal of KWJS 2003 August;21(4) :31-38.
Published online August 25, 2003.
Prediction of Heating-line Positions for Line Heating Process by Using a Neural Network
Kwang-Jae Son, Young-Soo Yang, Kang-Yul Bae


Correspondence:   Published online August 25, 2003
ABSTRACT
Line heating is an effective and economical process for forming flat metal plates into three-dimensional shapes for plating of ships. Because the nature of the line heating process is a transient thermal process, followed by a thermo elastic plastic stress field, predicting deformed shapes of plate is very difficult and complex problem. In this paper, neural network model for solving the inverse problem of metal forming is proposed. The backpropagation neural network systems for determining line-heating positions from object shape of plate are reported in this paper. Two cases of the network are constructed-the first case has 18 lines which have different positions and directions and the second case has 10 parallel heating lines. The input data are vertical displacements of plate and the output data are selected heating lines. The train sets of neural network are obtained by using an analytical solution that predicts plate deformations in line heating process. This method shows the feasibility that the neural network can be used to determine the heating-line positions in line heating process.
TOOLS
PDF Links  PDF Links
Full text via DOI  Full text via DOI
Download Citation  Download Citation
CrossRef TDM  CrossRef TDM
  E-Mail
Share:      
METRICS
898
View
0
Download
Related articles
Prediction of Plate Deformation by Multi-line Heating using SDB Method  2019 February;37(1)
Prediction of Tensile Strength for Plasma-MIG Hybrid Welding Using Statistical Regression Model and Neural Network Algorithm  2016 April;34(2)
Prediction of Welding Imperfection with Idealization of Welding and Their Accuracy  2013 October;31(5)
Prediction of Arc Welding Quality through Artificial Neural Network  2013 June;31(3)
Prediction of Heating Line for Plate Forming in Induction Heating Process Using Artificial Neural Network  2010 August;28(4)
Prediction of Plate Deformation by Multi-line Heating using SDB Method  2019 February;37(1)
Prediction of Tensile Strength for Plasma-MIG Hybrid Welding Using Statistical Regression Model and Neural Network Algorithm  2016 April;34(2)
Prediction of Welding Imperfection with Idealization of Welding and Their Accuracy  2013 October;31(5)
Prediction of Arc Welding Quality through Artificial Neural Network  2013 June;31(3)
Prediction of Heating Line for Plate Forming in Induction Heating Process Using Artificial Neural Network  2010 August;28(4)
e-sciencecentral
Register for e-submission
Register here to access the e-submission system of Journal of KWJS for authors and reviewers.
Manuscript Submission
To submit a manuscript, please visit the Journal of KWJS e-submission management system at http://submit.e-jwj.org, read the Instructions for Authors, and log into the Journal of KWJS e-submission system. For assistance with manuscript submission, please contact: koweld@kwjs.or.kr.
Free archive
Anyone may access any past or current articles without logging in.
Editorial Office
The Korea Science and Technology Building, New B/D, Room 503
Teheran-ro 7-gil, 22(635-4, Yeoksam-Dong), Gangnam-gu, Seoul 06130, Korea
TEL : +82-2-538-6511    FAX : +82-2-538-6510   E-mail: koweld@kwjs.or.kr
Browse Articles |  Current Issue |  For Authors and Reviewers |  About
Copyright© by The Korean Welding and Joining Society. All right reserved.