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Proceedings Paper

Neural networks optimization of laser welding process
Author(s): F. Caiazzo; Giuseppe Daurelio; Antonio Domenico Ludovico; F. Memola Capece Minutolo; 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 method in order to correlate, for different kinds of stainless steel, the melting area and the welding efficiency to working parameters, leaving out of account the knowledge of the chemical and thermo-physical properties of working materials. The results are quite satisfactory even if a direct search of the optimal process conditions is not possible.

Paper Details

Date Published: 25 January 2001
PDF: 4 pages
Proc. SPIE 4184, XIII International Symposium on Gas Flow and Chemical Lasers and High-Power Laser Conference, (25 January 2001); doi: 10.1117/12.414012
Show Author Affiliations
F. Caiazzo, Univ. degli Studi di Salerno (Italy)
Giuseppe Daurelio, Ctr. Laser Scrl (Italy)
Antonio Domenico Ludovico, Politecnico di Bari (Italy)
F. Memola Capece Minutolo, Univ. degli Studi di Napoli Federico II (Italy)
Vincenzo Sergi, Univ. degli Studi di Salerno (Italy)

Published in SPIE Proceedings Vol. 4184:
XIII International Symposium on Gas Flow and Chemical Lasers and High-Power Laser Conference
Antonio Lapucci; Marco Ciofini, Editor(s)

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