25 January 2001 Neural networks optimization of laser welding process
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Proceedings Volume 4184, XIII International Symposium on Gas Flow and Chemical Lasers and High-Power Laser Conference; (2001) https://doi.org/10.1117/12.414012
Event: XIII International Symposium on Gas Flow and Chemical Lasers and High-Power Laser Conference, 2000, Florence, Italy
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Caiazzo, F. Caiazzo, Giuseppe Daurelio, Giuseppe Daurelio, Antonio Domenico Ludovico, Antonio Domenico Ludovico, F. Memola Capece Minutolo, F. Memola Capece Minutolo, Vincenzo Sergi, Vincenzo Sergi, } "Neural networks optimization of laser welding process", 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; https://doi.org/10.1117/12.414012
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