Abstract
Determining the positions of triangle heating in and parameters of heating process are important for deforming the concave surfaces in shipyard, as well as airplane. The objective of this study was to develop an artificial neural network (ANN) model to predict positions of induction heating and parameters of heating process based on analytical solutions. This model of ANN can help manufacturers determine the positions of induction heating lines and their heating parameters to form a desired shape of plate. The back-propagation neural network systems for determining line-heating positions from object shape of plate are presented in this paper. An artificial neural network model is developed with the relationship between the desired shape of plate and the paths of induction heating. The input data are vertical displacements of plate and the output data are selected heating lines composed by the areas. The outputs of the models were positions of induction heating on plate as well as their parameters. Simulated values obtained with neural network correspond closely to the experimental results.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kawaguchi, H., Enokizono, M., Todaka, T.: Thermal and magnetic field analysis of induction heating problem. J. of Materials Processing Technology (161), 193–198 (2005)
Bae, K.-Y., Yang, Y.-S., Hyun, C.-M., Cho, S.-H.: Derivation of simplified formulas to predict deformations of plate in steel forming process with induction. International Journal of Machine Tools and Manufacture 48, 1646–1652 (2008)
Nguyen, T.-T., Yang, Y.-S., Bae, K.-Y., Choi, S.-N.: Prediction of Deformations of Steel Plate by Artificial Neural Network in Forming Process with Induction Heating. Journal of Mechanical Science and Technology 23, 1211–1221 (2009)
Nguyen, T.-T., Yang, Y.-S., Bae, K.-Y.: The development of an artificial neural network model to predict heating-line positions for plate forming in induction heating process. Mechanics Based Design of Structures and Machines An International Journal 37(2), 201–227 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Truong-Thinh, N., Tho, T.P., Cuong, T.D. (2013). Forming Complicated Surface in Shipyard Using Neural Network System. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_92
Download citation
DOI: https://doi.org/10.1007/978-3-642-37374-9_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37373-2
Online ISBN: 978-3-642-37374-9
eBook Packages: EngineeringEngineering (R0)