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.
Neural networks optimisation of laser welding process / Caiazzo, F; Daurelio, Giuseppe; Ludovico, Antonio Domenico; Memola Capece Minutolo, Fabrizio; Sergi, Vincenzo. - 4184:(2001), pp. 611-614. (Intervento presentato al convegno XIII International Symposium on Gas Flow and Chemical Lasers tenutosi a Florence, ita nel 2000) [10.1117/12.414012].
Neural networks optimisation of laser welding process
DAURELIO, GIUSEPPE;LUDOVICO, Antonio Domenico;Memola Capece Minutolo, Fabrizio;Sergi, Vincenzo
2001-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
