RT info:eu-repo/semantics/article
T1 Quality assessment of resistance spot welding joints of AISI 304 stainless steel based on elastic nets
A1 Martín, Óscar
A1 Ahedo García, Virginia
A1 Santos Martín, José Ignacio
A1 Tiedra, Pilar de
A1 Galán Ordax, José Manuel
K1 Resistance spot welding
K1 AISI 304 stainless steel
K1 Tensile shear load bearing capacity
K1 Quality assessment
K1 Elastic nets
K1 Smoothing splines
K1 Ingeniería mecánica
K1 Mechanical engineering
K1 Materiales
K1 Materials
AB 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.
PB Elsevier
SN 0921-5093
YR 2016
FD 2016-10
LK http://hdl.handle.net/10259/6358
UL http://hdl.handle.net/10259/6358
LA eng
NO Spanish MICINN Project CSD2010-00034 (SimulPast CONSOLIDER-INGENIO 2010).
DS Repositorio Institucional de la Universidad de Burgos
RD 24-abr-2024