An artificial neural network system for heating-path prediction in induction heating process for concave curved surface forming-Reference-Cited by-同舟云学术

An artificial neural network system for heating-path prediction in induction heating process for concave curved surface forming

Published:2014-02 Issue:2 Volume:15 Page:259-265
ISSN:2234-7593
Container-title:International Journal of Precision Engineering and Manufacturing
language:en
Short-container-title:Int. J. Precis. Eng. Manuf.

Author:

Nguyen Truong-Thinh,Yang Young-Soo,Kim Jae-Woong

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s12541-014-0333-x.pdf

Reference15 articles.

1. Shin J. G., Ryu C. H., Lee J. H., and Kim W. D., “User-Friendly, Advanced Line Heating Automation for Accurate Plate Fabrication,” Journal of Ship Production, Vol. 19, No. 1, pp. 8–15, 2003.

2. Kawaguchi H., Enokizono M., and Todaka T., “Thermal and Magnetic Field Analysis of Induction Heating Problems,” Journal of Materials Processing Technology, Vol. 161, No. 1–2, pp. 193–198, 2005.

3. Nerg, J. and Partanen, J., “Numerical Solution of 2D and 3D Induction Heating Problems with Non-Linear Material Properties Taken into Account,” Proc. of IEEE Transactions on Magnetics, Vol. 36, No. 5, pp. 3119–3121, 2000.

4. Kim, Y. B., Shin, J. G., Hyun, C. M., Ko, K. H., and Park, J. S., “The Determination of Heating Shapes and Locations for Triangle Heating,” Journal of Manufacturing Science and Engineering, Vol. 131, No. 2, pp. 021007, 2009.

5. Jang, C. D., Kim, H. K., and Ha, Y. S., “Prediction of Plate Bending by High-Frequency Induction Heating,” Journal of Ship Production, Vol. 18, No. 4, pp. 226–236, 2002.

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