Quality assurance of clinched joints using explainable machine learning
J. Gerritzen, K. Chopra, G. Reschke, A. Hornig, A. Brosius, M. Gude, Journal of Advanced Joining Processes 13 (2025).
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Journal Article
| Published
| English
Author
Gerritzen, JohannesLibreCat 
;
Chopra, Kunal;
Reschke, GregorLibreCat;
Hornig, Andreas;
Brosius, Alexander;
Gude, Maik
;
Chopra, Kunal;
Reschke, GregorLibreCat;
Hornig, Andreas;
Brosius, Alexander;
Gude, MaikPublishing Year
Journal Title
Journal of Advanced Joining Processes
Volume
13
Article Number
100368
ISSN
LibreCat-ID
Cite this
Gerritzen J, Chopra K, Reschke G, Hornig A, Brosius A, Gude M. Quality assurance of clinched joints using explainable machine learning. Journal of Advanced Joining Processes. 2025;13. doi:10.1016/j.jajp.2025.100368
Gerritzen, J., Chopra, K., Reschke, G., Hornig, A., Brosius, A., & Gude, M. (2025). Quality assurance of clinched joints using explainable machine learning. Journal of Advanced Joining Processes, 13, Article 100368. https://doi.org/10.1016/j.jajp.2025.100368
@article{Gerritzen_Chopra_Reschke_Hornig_Brosius_Gude_2025, title={Quality assurance of clinched joints using explainable machine learning}, volume={13}, DOI={10.1016/j.jajp.2025.100368}, number={100368}, journal={Journal of Advanced Joining Processes}, publisher={Elsevier BV}, author={Gerritzen, Johannes and Chopra, Kunal and Reschke, Gregor and Hornig, Andreas and Brosius, Alexander and Gude, Maik}, year={2025} }
Gerritzen, Johannes, Kunal Chopra, Gregor Reschke, Andreas Hornig, Alexander Brosius, and Maik Gude. “Quality Assurance of Clinched Joints Using Explainable Machine Learning.” Journal of Advanced Joining Processes 13 (2025). https://doi.org/10.1016/j.jajp.2025.100368.
J. Gerritzen, K. Chopra, G. Reschke, A. Hornig, A. Brosius, and M. Gude, “Quality assurance of clinched joints using explainable machine learning,” Journal of Advanced Joining Processes, vol. 13, Art. no. 100368, 2025, doi: 10.1016/j.jajp.2025.100368.
Gerritzen, Johannes, et al. “Quality Assurance of Clinched Joints Using Explainable Machine Learning.” Journal of Advanced Joining Processes, vol. 13, 100368, Elsevier BV, 2025, doi:10.1016/j.jajp.2025.100368.
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