Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
11 Publications
2020 | Journal Article | LibreCat-ID: 30710
C. Zirngibl, B. Schleich, and S. Wartzack, “Potentiale datengestützter Methoden zur Gestaltung und Optimierung mechanischer Fügeverbindungen,” Proceedings of the 31st Symposium Design for X (DFX2020), 2020, doi: 10.35199/dfx2020.8.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 30650
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, and M. Merklein, “Data-driven analysis of cold-formed pin structure characteristics in the context of versatile joining processes,” IOP Conference Series: Materials Science and Engineering, vol. 1157, p. 012077, 2021, doi: 10.1088/1757-899X/1157/1/012077.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 30696
C. Zirngibl, B. Schleich, and S. Wartzack, “Approach for the automated and data-based design of mechanical joints,” Proceedings of the Design Society, vol. 1, p. 521, 2021, doi: 10.1017/pds.2021.52.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 30700
C. Zirngibl, F. Dworschak, B. Schleich, and S. Wartzack, “Application of reinforcement learning for the optimization of clinch joint characteristics,” Production Engineering, 2021, doi: 10.1007/s11740-021-01098-4.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 30695
C. Zirngibl and B. Schleich, “Approach for the automated analysis of geometrical clinch joint characteristics,” Key Engineering Materials, vol. 883 KEM, p. 105, 2021, doi: 10.4028/www.scientific.net/KEM.883.105.
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 34415
C. Zirngibl, C. Sauer, B. Schleich, and S. Wartzack, “Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections,” 2022, doi: 10.1115/detc2022-89172.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34417 | 
C. Zirngibl, B. Schleich, and S. Wartzack, “Estimation of Clinch Joint Characteristics Based on Limited Input Data Using Pre-Trained Metamodels,” AI, vol. 3, no. 4, pp. 990–1006, 2022, doi: 10.3390/ai3040059.
LibreCat
| DOI
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 34249 |
D. Römisch, C. Zirngibl, B. Schleich, S. Wartzack, and M. Merklein, “Robustness Analysis of Pin Joining,” Journal of Manufacturing and Materials Processing, vol. 6, no. 5, Art. no. 122, 2022, doi: 10.3390/jmmp6050122.
LibreCat
| DOI
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 34414 |
C. Zirngibl, B. Schleich, and S. Wartzack, “Robust estimation of clinch joint characteristics based on data-driven methods,” The International Journal of Advanced Manufacturing Technology, 2022, doi: 10.1007/s00170-022-10441-7.
LibreCat
| DOI
| Download (ext.)
2022 | Journal Article | LibreCat-ID: 30100
C. Zirngibl et al., “Provision of cross-domain knowledge in mechanical joining using ontologies,” Production Engineering, 2022, doi: 10.1007/s11740-022-01117-y.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34244
F. Kappe, C. Zirngibl, B. Schleich, M. Bobbert, S. Wartzack, and G. Meschut, “Determining the influence of different process parameters on the versatile self-piercing riveting process using numerical methods,” Journal of Manufacturing Processes, vol. 84, pp. 1438–1448, 2022, doi: 10.1016/j.jmapro.2022.11.019.
LibreCat
| DOI