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Proceedings Paper

Steel sheet laser welding-optimization with neural networks
Author(s): I. de Iorio; F. Rossi; Vincenzo Sergi
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Paper Abstract

The employment of laser systems for completely automated welding processes needs an analysis of physical mechanisms by means of mathematical models to correlate the characteristic quality indexes of welding to working parameters. In this paper we describe the application of neural networks methods in order to correlate, for different kinds of steel, the form factor and the penetration depth to working parameters and chemical and thermal properties of working materials. The results are quite satisfactory even a direct search of the optimal process conditions is not possible.

Paper Details

Date Published: 4 May 1993
PDF: 4 pages
Proc. SPIE 1810, 9th International Symposium on Gas Flow and Chemical Lasers, (4 May 1993); doi: 10.1117/12.144553
Show Author Affiliations
I. de Iorio, Univ. di Napoli (Italy)
F. Rossi, Univ. di Napoli (Italy)
Vincenzo Sergi, Univ. di Napoli (Italy)

Published in SPIE Proceedings Vol. 1810:
9th International Symposium on Gas Flow and Chemical Lasers
Costas Fotakis; Costas Kalpouzos; Theodore G. Papazoglou, Editor(s)

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