A hybrid knowledge based and data based approach for efficient clinch joint design
J.-M. Einwag, M. Wiemer, S. Wartzack, S. Goetz, Discover Mechanical Engineering 5 (2026).

From simulation to metamodel to experiment: Evaluating the prediction accuracy of polynomial regression models for clinch joint properties
J.-M. Einwag, C. Steinfelder, S. Wartzack, A. Brosius, S. Goetz, Journal of Manufacturing Processes 154 (2025) 179–191.

Impact of the parameter distribution on the predictive quality of metamodels for clinch joint properties
J.-M. Einwag, Y. Mayer, S. Goetz, S. Wartzack, in: Materials Research Proceedings, Materials Research Forum LLC, 2025.

Influence of process variations on clinch joint characteristics considering the effect of the nominal tool design
C. Zirngibl, S. Goetz, S. Wartzack, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering (2024).

Approach for the Reliable and Virtual Design of Mechanical Joints in an Uncertain Environment
J.-M. Einwag, S. Goetz, S. Wartzack, in: DS 133: Proceedings of the 35th Symposium Design for X (D), The Design Society, 2024.

On the transferability of nominal surrogate models to uncertainty consideration of clinch joint characteristics
C. Bode, S. Goetz, S. Wartzack, Procedia CIRP 129 (2024) 151–156.

Methodical approach for the design and dimensioning of mechanical clinched assemblies
C. Zirngibl, S. Martin, C. Steinfelder, B. Schleich, T. Tröster, A. Brosius, S. Wartzack, in: Materials Research Proceedings, Materials Research Forum LLC, 2023.

Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections
C. Zirngibl, C. Sauer, B. Schleich, S. Wartzack, in: Volume 2: 42nd Computers and Information in Engineering Conference (CIE), American Society of Mechanical Engineers, 2022.

Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels
C. Zirngibl, B. Schleich, S. Wartzack, AI 3 (2022) 990–1006.

Robustness Analysis of Pin Joining
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, Journal of Manufacturing and Materials Processing 6 (2022).

Robust estimation of clinch joint characteristics based on data-driven methods
C. Zirngibl, B. Schleich, S. Wartzack, The International Journal of Advanced Manufacturing Technology (2022).

Provision of cross-domain knowledge in mechanical joining using ontologies
C. Zirngibl, P. Kügler, J. Popp, C.R. Bielak, M. Bobbert, D. Drummer, G. Meschut, S. Wartzack, B. Schleich, Production Engineering (2022).

Determining the influence of different process parameters on the versatile self-piercing riveting process using numerical methods
F. Kappe, C. Zirngibl, B. Schleich, M. Bobbert, S. Wartzack, G. Meschut, Journal of Manufacturing Processes 84 (2022) 1438–1448.

Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, M. Merklein, IOP Conference Series: Materials Science and Engineering 1157 (2021) 012077.

Approach for the automated and data-based design of mechanical joints
C. Zirngibl, B. Schleich, S. Wartzack, Proceedings of the Design Society 1 (2021) 521.

Application of reinforcement learning for the optimization of clinch joint characteristics
C. Zirngibl, F. Dworschak, B. Schleich, S. Wartzack, Production Engineering (2021).

Approach for the automated analysis of geometrical clinch joint characteristics
C. Zirngibl, B. Schleich, Key Engineering Materials 883 KEM (2021) 105.

Potentiale datengestützter Methoden zur Gestaltung und Optimierung mechanischer Fügeverbindungen
C. Zirngibl, B. Schleich, S. Wartzack, Proceedings of the 31st Symposium Design for X (D) (2020).