Assessment of sheet-metal bending requirements using neural networks

Author:

Roy R.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference12 articles.

1. Lange K. Handbook of Metal Forming. McGraw-Hill, New York, 1985; 19.1?19.51

2. Ludwik P. Engineering Study of Sheet Bending. Technische Blatter, no. 35, Prag, Verlag des Deutschen Polytechnischen Vereins in Bohmen, 1903; 133?159 (in German)

3. Oehler G. Bending. Muchen, Hanser, 1963 (in German)

4. Gossard DC, Allison BT. Adaptive brake forming. Proc 8th North American Manufacturing Res Conf. Rolla, MO 1980; 252?256

5. Geiger M, Vollertsen F. The mechanisms of laser forming. CIRP Annals 1993; 42(1): 301?304

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1. Prediction of Life of Compound Die Using Artificial Neural Network;AI Applications in Sheet Metal Forming;2016-10-28

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3. Prediction of spring-back and bend force in air bending of electro-galvanised steel sheets using artificial neural networks;Australian Journal of Mechanical Engineering;2014-01

4. Numerical Simulation and Analysis on Bending Forming of Hull Plate;Materials Science Forum;2011-12

5. Experimental study of high-strength low-alloy sheet metal components with holes on the bending surfaces;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2009-03-27

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