| Comparing CAD part models for geometrical similarity: A concept using machine learning algorithms S Bickel, C Sauer, B Schleich, S Wartzack Procedia CIRP 96, 133-138, 2021 | 29 | 2021 |
| Deep learning in sheet-bulk metal forming part design C Sauer, B Schleich, S Wartzack DS 92: Proceedings of the DESIGN 2018 15th international design conference …, 2018 | 15 | 2018 |
| Sysml 4 digital twins–utilization of system models for the design and operation of digital twins F Wilking, C Sauer, B Schleich, S Wartzack Proceedings of the Design Society 2, 1815-1824, 2022 | 14 | 2022 |
| Fringe projection profilometry in production metrology: A multi-scale comparison in sheet-bulk metal forming L Hinz, S Metzner, P Müller, R Schulte, HB Besserer, S Wackenrohr, ... Sensors 21 (7), 2389, 2021 | 12 | 2021 |
| Integrating machine learning in digital twins by utilizing sysml system models F Wilking, C Sauer, B Schleich, S Wartzack 2022 17th Annual System of Systems Engineering Conference (SOSE), 297-302, 2022 | 11 | 2022 |
| Design-for-manufacture of sheet-bulk metal formed parts T Breitsprecher, C Sauer, C Sperber, S Wartzack DS 80-4 Proceedings of the 20th International Conference on Engineering …, 2015 | 9 | 2015 |
| Towards Customized Digital Engineering: Herausforderungen und Potentiale bei der Anpassung von Digital Engineering Methoden für den Produktentwicklungsprozess B Gerschütz, C Sauer, A Wallisch, J Mehlstäubl, A Kormann, B Schleich, ... Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO, 2021 | 8 | 2021 |
| What does Design for Production mean? – From Design Guidelines to Self-learning Engineering Workbenches S Wartzack, C Sauer, C Küstner Proceedings of the 11th International Workshop on Integrated Design …, 2017 | 8 | 2017 |
| Methodology for plausibility checking of structural mechanics simulations using Deep Learning on existing simulation data T Spruegel, R Rothfelder, S Bickel, A Grauf, C Sauer, B Schleich, ... DS 91: Proceedings of NordDesign 2018, Linköping, Sweden, 14th-17th August 2018, 2018 | 7 | 2018 |
| Einsatz von Deep Learning zur ortsaufgelösten Beschreibung von Bauteileigenschaften C Sauer, C Küstner, S Benjamin, W Sandro Design for X. Beiträge zum 28. DfX-Symposium, 49-60, 2017 | 6 | 2017 |
| Digital engineering methods in practical use during mechatronic design processes B Gerschütz, C Sauer, A Kormann, SJ Nicklas, S Goetz, M Roppel, ... Designs 7 (4), 93, 2023 | 5 | 2023 |
| Design of Amorphous Carbon Coatings Using Gaussian Processes and Advanced Data Visualization C Sauer, B Rothammer, N Pottin, M Bartz, B Schleich, S Wartzack Lubricants 10 (2), 22, 2022 | 5 | 2022 |
| Meta-model based generation of solution spaces in sheet-bulk metal forming C Sauer, B Schleich, S Wartzack Procedia CIRP 91, 905-910, 2020 | 5 | 2020 |
| Simultaneous Development of a Self-learning Engineering Assistance System C Sauer, B Schleich, S Wartzack Industrial Colloquium of the Transregional Collaborative Research Centre 73 …, 2020 | 4 | 2020 |
| Einsatz von Graphdatenbanken für das Produktdatenmanagement im Kontext von Industrie 4.0 C Sauer, B Schleich, S Wartzack | 4 | 2019 |
| SLASSY—An Assistance System for Performing Design for Manufacturing in Sheet-Bulk Metal Forming: Architecture and Self-Learning Aspects C Sauer, T Breitsprecher, C Küstner, B Schleich, S Wartzack AI 2 (3), 307-329, 2021 | 3 | 2021 |
| Functional analysis of components manufactured by a sheet-bulk metal forming process A Hetzel, R Schulte, M Vogel, M Lechner, HB Besserer, HJ Maier, ... Journal of Manufacturing and Materials Processing 5 (2), 49, 2021 | 2 | 2021 |
| A data model for linking testbed and field test data C Sauer, B Schleich, S Wartzack DS 111: Proceedings of the 32nd Symposium Design for X (DFX2021), 1-10, 2021 | 2 | 2021 |
| A knowledge-based engineering workbench for automated tolerance specification C Sauer, B Heling, S Schmutzler, B Schleich ASME International Mechanical Engineering Congress and Exposition 59384 …, 2019 | 2 | 2019 |
| Lücken und Herausforderungen bei der praktischen Umsetzung des Model-Based Systems Engineering C Fresemann, R Stark, C Sauer, B Schleich, S Wartzack | 2 | 2019 |
