Data in Brief (Dec 2022)

Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission

  • Fethi Dahmene,
  • Slah Yaacoubi,
  • Mahjoub El Mountassir,
  • Gaëlle Porot,
  • Mohamed Masmoudi,
  • Pascal Nennig,
  • Uceu Fuad Hasan Suhuddin,
  • Jorge Fernandez dos Santos

Journal volume & issue
Vol. 45
p. 108750

Abstract

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The dataset presented in this paper deals with real-time measurements carried out during the welding of 78 spot welds including heathy and defective states. These measurements are composed of acoustic emission signals and welding parameters. Acoustic emission signals were captured by three different piezoelectric sensors, which are connected to a Vallen AMSY5 system through preamplifiers. Welding parameters where digitized using the M-SCOPE software. Both measurements can be used for the establishment of an automatic criterion able to detect defective spot welds in Refill Friction Stir Spot Welding.

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