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Zirngibl, C., Schleich, B., &; Wartzack, S. (2022). Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels. AI, 3(4), 990–1006.https://doi.org/10.3390/ai3040059 

Römisch, D., Zirngibl, C., Schleich, B., Wartzack, S., &; Merklein, M. (2022). Robustness Analysis of Pin Joining. Journal of Manufacturing and Materials Processing, 6(5), Article 122.https://doi.org/10.3390/jmmp6050122 

Zirngibl, C., Schleich, B., &; Wartzack, S. (2022). Robust estimation of clinch joint characteristics based on data-driven methods. The International Journal of Advanced Manufacturing Technology.https://doi.org/10.1007/s00170-022-10441-7 

Zirngibl, C., Kügler, P., Popp, J., Bielak, C. R., Bobbert, M., Drummer, D., Meschut, G., Wartzack, S., &; Schleich, B. (2022). Provision of cross-domain knowledge in mechanical joining using ontologies. Production Engineering.https://doi.org/10.1007/s11740-022-01117-y 

Kappe, F., Zirngibl, C., Schleich, B., Bobbert, M., Wartzack, S., &; Meschut, G. (2022). Determining the influence of different process parameters on the versatile self-piercing riveting process using numerical methods. Journal of Manufacturing Processes, 84, 1438–1448.https://doi.org/10.1016/j.jmapro.2022.11.019 

Römisch, D., Zirngibl, C., Schleich, B., Wartzack, S., &; Merklein, M. (2021). Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes. IOP Conference Series: Materials Science and Engineering, 1157, 012077.https://doi.org/10.1088/1757-899X/1157/1/012077 

Zirngibl, C., Schleich, B., &; Wartzack, S. (2021). Approach for the automated and data-based design of mechanical joints. Proceedings of the Design Society, 1, 521.https://doi.org/10.1017/pds.2021.52 

Zirngibl, C., Dworschak, F., Schleich, B., &; Wartzack, S. (2021). Application of reinforcement learning for the optimization of clinch joint characteristics. Production Engineering.https://doi.org/10.1007/s11740-021-01098-4 

Zirngibl, C., &; Schleich, B. (2021). Approach for the automated analysis of geometrical clinch joint characteristics. Key Engineering Materials, 883 KEM, 105.https://doi.org/10.4028/www.scientific.net/KEM.883.105 

Zirngibl, C., Schleich, B., &; Wartzack, S. (2020). Potentiale datengestützter Methoden zur Gestaltung und Optimierung mechanischer Fügeverbindungen. Proceedings of the 31st Symposium Design for X (D).https://doi.org/10.35199/dfx2020.8