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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.

SUBMITTER: Dahmene F 

PROVIDER: S-EPMC9747647 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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

Dahmene Fethi F   Yaacoubi Slah S   El Mountassir Mahjoub M   Porot Gaëlle G   Masmoudi Mohamed M   Nennig Pascal P   Suhuddin Uceu Fuad Hasan UFH   Fernandez Dos Santos Jorge J  

Data in brief 20221115


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 establi  ...[more]

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