Real-time detection of the aluminium contribution during laser welding of Usibor1500 tailor-welded blanks

The identification and intensity estimation of some aluminium emission lines have been proposed to perform an on-line quantification of the Al contribution to the laser-welding process of Usibor blanks. This boron steel is protected by an Al-Si coating that is removed by laser ablation before weldin...

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Detalles Bibliográficos
Autores: Mirapeix Serrano, Jesús María|||0000-0002-6035-0139, Vila, Elisenda, Valdiande Gutiérrez, José Julián|||0000-0001-6474-3063, Riquelme, Antoine, García, Michel, Cobo García, Adolfo|||0000-0003-1498-9238
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/10980
Acceso en línea:http://hdl.handle.net/10902/10980
Access Level:acceso abierto
Palabra clave:Optical fiber sensor
On-line monitoring
Plasma spectroscopy
Quality assurance
Laser welding
Usibor1500
Tailor-welded blanks
Tensile strength
Macrographs
Descripción
Sumario:The identification and intensity estimation of some aluminium emission lines have been proposed to perform an on-line quantification of the Al contribution to the laser-welding process of Usibor blanks. This boron steel is protected by an Al-Si coating that is removed by laser ablation before welding. If this process fails to remove Al from the joint surface, its contribution may affect the final properties of the resulting seams, therefore compromising their quality. Experimental tests have been performed, some of them in a real production scenario. They have been analysed and compared to the results of welding test specimens, analysis of the associated tensile properties and fracture locations and seam macrographs. These studies have indicated that on-line quantification of the Al contribution to the process is feasible and that a correlation can be established between the Al content estimated in real-time and the results derived from the off-line tests considered.