Comparison of regression and artificial neural network model for the prediction of springback during air bending process of interstitial free steel sheet-Reference-Cited by-同舟云学术

Comparison of regression and artificial neural network model for the prediction of springback during air bending process of interstitial free steel sheet

Published:2010-01-22 Issue:3 Volume:23 Page:357-364
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Narayanasamy R.,Padmanabhan P.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-009-0375-6.pdf

Reference14 articles.

1. Cardeen W. D., Geng L. M., Matlock D. K., Wagoner R. H. (2002) Measurement of springback. International Journal of Mechanical Sciences 44: 79–101

2. Chang S. C., Lin P. J. (2000) Neural networks to predict bending angle of sheet metal formed by laser. International Journal of Machine Tools and Manufacture 40: 1185–1197

3. Gary Harlow D. (2004) The effect of statistical variability in material properties on springback. International Journal of Materials and Product Technology 20(1–3): 180–192

4. Haykin S. (1994) Neural networks—A comprehensive foundation. Macmillan College Publishing Co, New York

5. Hsiang S.-H., Kuo J.-L., Yang F.-Y. (2006) Using artificial neural networks to investigate the influence of temperature on hot extrusion of AZ61 magnesium alloy. Journal of Intelligent Manufacturing 17(2): 191–201

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