Quality assessment of resistance spot welding joints of AISI 304 stainless steel based on elastic nets
| Autor: | José Manuel Galán, José Ignacio Santos, Pilar De Tiedra, Virginia Ahedo, Óscar Martín |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Elastic net regularization
0209 industrial biotechnology Materials science 02 engineering and technology Welding engineering.material law.invention AISI 304 stainless steel Smoothing spline 020901 industrial engineering & automation law Elastic nets General Materials Science Austenitic stainless steel Resistance spot welding Spot welding Polynomial expansion Materials AISI 304 stainless stee Materiales Artificial neural network Smoothing splines business.industry Mechanical Engineering Structural engineering Ingeniería mecánica 021001 nanoscience & nanotechnology Condensed Matter Physics Mechanical engineering Mechanics of Materials Electrode engineering 0210 nano-technology business Tensile shear load bearing capacity Quality assessment |
| Zdroj: | Repositorio Institucional de la Universidad de Burgos (RIUBU) instname Digital.CSIC. Repositorio Institucional del CSIC |
| ISSN: | 0921-5093 |
| Popis: | In this work, the quality of resistance spot welding (RSW) joints of 304 austenitic stainless steel (SS) is assessed from its tensile shear load bearing capacity (TSLBC). A predictive model using a polynomial expansion of the relevant welding parameters, i.e. welding current (WC), welding time (WT) and electrode force (EF) and elastic net regularization is proposed. The predictive power of the elastic net approach has been compared to artificial neural networks (ANNs), previously used to predict TSLBC, and smoothing splines in the framework of a generalized additive model. The results show that the predictive and classification error of the elastic net model are statistically comparable to benchmarks of the best pattern recognition tools whereas it overcomes correlation problems and performs variable selection at the same time, resulting in a simpler and more interpretable model. These features make the elastic net model amenable to be used in the design of welding conditions and in the control of manufacturing processes. The authors would like to thank Dr. L.R. Izquierdo for some advice and comments on this paper. The authors acknowledge support from the Spanish MICINN Project CSD2010-00034 (SimulPast CONSOLIDER-INGENIO 2010). |
| Databáze: | OpenAIRE |
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