Autor/in Schüppstuhl, Thorsten Schoepflin, Daniel 6 Koch, Julian 4 Rath, Jan-Erik 4 Schmedemann, Ole 4 Gierecker, Johann 3 Krause, Dieter 3 Kähler, Falko 3 Eggers, Kolja 2 Gomse, Martin 2 Kalscheuer, Florian 2 Laukotka, Fabian 2 Baaß, Melvin 1 Berschik, Markus Christian 1 Blecken, Marvin 1 Büsch, Lukas 1 Deneke, Constantin 1 Díaz Ferreyra, Nicolás 1 Eltgen, Jil 1 Eschen, Henrik 1 God, Ralf 1 Graupner, Robert 1 Holst, Dirk 1 Hörstel, F. 1 Iyer, Karthik 1 Kashish, Komal 1 Kipping, Johann 1 Kumawat, Hiteshkumar 1 Kállai, Zsolt 1 Miotke, Maximilian 1 Moenck, Keno 1 Moenck, Keno H. W. 1 Müller, Tim 1 Nagel, Thorsten J. 1 Scandariato, Riccardo 1 Schwieger, Lea-Sophie 1 Srikumar, Kamakshi 1 Venkatanarasimhan, Arvind 1 Wendt, Arne 1 alle zeigenListe einklappen
Tool Wear Classification in Automated Drilling Operations of Aircraft Structure Components using Artificial Intelligence Methods (SAE Paper 2022-01-0040) Koch, Julian Schoepflin, Daniel Venkatanarasimhan, Arvind Schüppstuhl, Thorsten 2022 - TUHH Open Research
Investigation of an Automated Potting Process for High Volume Insert Assembly in Honeycomb Structures Kalscheuer, Florian Müller, Tim Gierecker, Johann Schüppstuhl, Thorsten 2022 - TUHH Open Research