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Generalization of convolutional neural networks for defect detection in friction stir welding towards the qualification of a spindle-integrated high granularity process-force measurement system

Crossref DOI link: https://doi.org/10.1007/s40194-025-02307-9

Published Online: 2026-01-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Rabe, P. https://orcid.org/0000-0002-1811-9304
Schiebahn, A. https://orcid.org/0000-0001-8427-6765
Reisgen, U. https://orcid.org/0000-0003-4920-2351
Strachkov, A.

Fey, M. https://orcid.org/0009-0007-5538-8857
Brecher, C. https://orcid.org/0000-0002-8049-3364
Funding

Funding for this research was provided by:

Deutsche Forschungsgemeinschaft (390621612)

RWTH Aachen University
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Text and Data Mining valid from 2026-01-19

Version of Record valid from 2026-01-19
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Article History

Received: 19 September 2025

Accepted: 19 December 2025

First Online: 19 January 2026

Declarations

:

: The authors declare that there exists no competing financial interest or personal relationships that could have appeared to influence the work reported in this paper.

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