Optimisation of friction-stir welding process using vibro-acoustic signal analysis

  1. Orozco, M.S. 2
  2. MacÍas, E.J. 1
  3. Roca, A.S. 2
  4. Fals, H.C. 2
  5. Fernández, J.B. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad de Oriente - Santiago de Cuba
    info

    Universidad de Oriente - Santiago de Cuba

    Santiago de Cuba, Cuba

    ROR https://ror.org/03kqap970

Revista:
Science and Technology of Welding and Joining

ISSN: 1362-1718

Año de publicación: 2013

Volumen: 18

Número: 6

Páginas: 532-540

Tipo: Artículo

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DOI: 10.1179/1362171813Y.0000000134 SCOPUS: 2-s2.0-84879300587 WoS: WOS:000320773900012 GOOGLE SCHOLAR

Otras publicaciones en: Science and Technology of Welding and Joining

Objetivos de desarrollo sostenible

Proyectos relacionados

Soldadura por fricción-agitación de materiales disimilares. Caracterización por técnicas de Emisión Acústica e Inteligencia Artificial.

2012/00012/001

Resumen

This paper presents a mathematical model to predict the tensile strength (TS) of friction-stir welded (FSW) AA1050 aluminium alloy joint. This model has been obtained from the optimisation of the parameters of models developed from vibro-acoustic signals produced during the process. The multiple response method was used to obtain the optimisation model. During experimental development, the process parameters selected to be assessed were rotation speed (RS), travel speed, and tool profile (TP). The TS of the welded joint and the root mean square (RMS) value of the vibro-acoustic signal in the frequency range of 3?2-6?4 kHz were analysed as response variables. In order to validate the model, the optimal values of the factors and responses are presented, showing their agreement with the experimental values obtained. This model can be used to develop and optimise the parameters of the automatic control of the FSW process, based on the vibro-acoustic signal generated. © 2013 Institute of Materials, Minerals and Mining.