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

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

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...

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Veröffentlicht in:Data in brief 2022-12, Vol.45, p.108750-108750, Article 108750
Hauptverfasser: Dahmene, Fethi, Yaacoubi, Slah, El Mountassir, Mahjoub, Porot, Gaëlle, Masmoudi, Mohamed, Nennig, Pascal, Suhuddin, Uceu Fuad Hasan, Fernandez dos Santos, Jorge
Format: Artikel
Sprache:eng
Schlagworte:
Acoustic emission
acoustics
computer software
Condition monitoring
Data
data collection
Defect detection
friction
Process monitoring
Refill friction stir spot welding
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Beschreibung
Zusammenfassung: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.
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2022.108750