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

Dahmene, F.; Yaacoubi, S.; El Mountassir, M.; Porot, G.; Masmoudi, M.; Nennig, P.; Suhuddin, U.; dos Santos, J.

Journalpaper

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

Abstract

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.

DOI Link to Publication

URL: https://publications.hereon.de/id/50999/
Authors:Dahmene, F., Yaacoubi, S., El Mountassir, M., Porot, G., Masmoudi, M., Nennig, P., Suhuddin, U., dos Santos, J.
Year:2022
In: Data in Brief
Volume:45
Pages:108750
Publisher:Elsevier, Amsterdam
Type:Journalpaper
ISSN: 2352-3409
Cite as: Dahmene, F.; Yaacoubi, S.; El Mountassir, M.; Porot, G.; Masmoudi, M.; Nennig, P.; Suhuddin, U.; dos Santos, J.: Dataset from healthy and defective spot welds in refill friction stir spot welding using acoustic emission. In: Data in Brief. Vol. 45 (2022) 108750. (DOI: /10.1016/j.dib.2022.108750)