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 network optimisation of laser welding process / Caiazzo, F.; Daurelio, G.; Ludovico, A. D.; MEMOLA CAPECE MINUTOLO, Fabrizio; Sergi, V.. - STAMPA. - 4184:(2001), pp. 611-614. [10.1117/12.414012]
Neural network optimisation of laser welding process
MEMOLA CAPECE MINUTOLO, FABRIZIO;
2001
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.
