Tool profiles evaluation based on vibroacoustical signals generated by friction-stir welding

  1. Blanco-Fernández, J. 1
  2. Jiménez-Macías, E. 1
  3. Sanchez-Orozco, M. 2
  4. Sanchez-Roca, A. 2
  5. Carvajal-Fals, H 2
  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

Liburua:
26th European Modeling and Simulation Symposium, EMSS 2014

ISBN: 9788897999324

Argitalpen urtea: 2014

Orrialdeak: 576-581

Mota: Liburuko kapitulua

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SCOPUS: 2-s2.0-84912092045 GOOGLE SCHOLAR

Laburpena

This paper presents a study to assess the relationship between the tool design and vibro-acoustic signals of the friction stir welding process in the aluminium AA1050. The characterization in time and frequency domains (Martinez-de-Pison et al., 2012) of vibro-acoustical signal and the statistical analysis have been carried out in order to correlate them with the design of two different tools (Jimenez-Macias et al., 2010). Vibro-acoustical signals have been filtered in order to eliminate the noise of the friction stir welding machine. Additionally, the Wavelet Transform has been used as an efficient tool for filtering vibration signal waveforms. The statistical analysis has confirmed that the vibro-acoustical signals were significantly affected by the tool design. It was found that there is valid information to assess changes in the tool profile in the frequency range of 0 to 100Hz. Analysis techniques based on the Wavelet Transform constitute a tool that can be efficiently used in the assessment of changes in the tool profile.