| Workpiece image-based tool wear classification in blanking processes using deep convolutional neural networks DA Molitor, C Kubik, RH Hetfleisch, P Groche Production Engineering 16 (4), 481-492, 2022 | 20* | 2022 |
| Towards high-performance deep learning models in tool wear classification with generative adversarial networks DA Molitor, C Kubik, M Becker, RH Hetfleisch, F Lyu, P Groche Journal of Materials Processing Technology 302, 117484, 2022 | 20 | 2022 |
| Effectiveness of different closed-loop control strategies for deep drawing on single-acting 3D Servo Presses P Groche, A Breunig, K Chen, DA Molitor, J Ha, BL Kinsey, YP Korkolis CIRP Annals 71 (1), 357-360, 2022 | 18 | 2022 |
| Towards a systematical approach for wear detection in sheet metal forming using machine learning C Kubik, M Becker, DA Molitor, P Groche Production Engineering 17 (1), 21-36, 2023 | 15 | 2023 |
| Knowledge Discovery in Engineering Applications Using Machine Learning Techniques C Kubik, DA Molitor, M Becker, P Groche Journal of Manufacturing Science and Engineering 144 (9), 091003, 2022 | 10 | 2022 |
| Towards a real-time tool state detection in sheet metal forming processes validated by wear classification during blanking C Kubik, DA Molitor, M Rojahn, P Groche IOP Conference Series: Materials Science and Engineering 1238 (1), 012067, 2022 | 7 | 2022 |
| Task space control of ram poses of multipoint Servo Presses DA Molitor, V Arne, D Spies, F Hoppe, P Groche Journal of Process Control 129, 103057, 2023 | 6 | 2023 |
| Conception of a multivariable product property control for punch-hole-rolling D Spies, DA Molitor, J Damon, K Maximilian, S Dietrich, V Schulze, ... Materials Research Proceedings 28, 2087-2090, 2023 | 4* | 2023 |
| Ableitung eines Vorgehensmodells zur systematischen Wissensgenerierung aus Sensordaten: Zustandsbewertung produktionstechnischer Prozesse mittels maschineller Lernverfahren DA Molitor, C Kubik, M Knoll, M Becker, P Groche Zeitschrift für wirtschaftlichen Fabrikbetrieb 116 (5), 352-357, 2021 | 4 | 2021 |
| Gain scheduled task space control of multi DOF machine tools with non-linear parallel kinematics DA Molitor, V Arne, F Hoppe, P Groche Control Engineering Practice 144, 105823, 2024 | 3 | 2024 |
| Image-based feature extraction for inline quality assurance and wear classification in high-speed blanking processes C Kubik, DA Molitor, S Varchmin, DS Leininger, J Ohrenberg, P Groche The International Journal of Advanced Manufacturing Technology 129 (11 …, 2023 | 3 | 2023 |
| Deep learning-based domain adaptation for a generalized detection of wear phenomena during blanking C Kubik, DA Molitor, M Rojahn, P Groche Manufacturing Letters 35, 904-914, 2023 | 3 | 2023 |
| An approach for mastering data-induced conflicts in the digital twin context GA Staudter, T Öztürk, DM Martin, J Hartig, DA Molitor, F Hoppe, R Anderl, ... International Journal of Product Lifecycle Management 13 (1), 25-47, 2021 | 3 | 2021 |
| Tool wear segmentation in blanking processes with fully convolutional networks based digital image processing C Schlegel, DA Molitor, C Kubik, DM Martin, P Groche Journal of Materials Processing Technology 324, 118270, 2024 | 2 | 2024 |
| Inline closed-loop control of bending angles with machine learning supported springback compensation DA Molitor, V Arne, C Kubik, G Noemark, P Groche International Journal of Material Forming 17 (1), 8, 2024 | 2 | 2024 |
| Was Bauteile über den Verschleiß genutzter Stanzwerkzeuge verraten: Möglichkeiten der Bildauswertung mit faltenden neuronalen Netzen DA Molitor, C Kubik, RH Hetfleisch, P Groche Zeitschrift für wirtschaftlichen Fabrikbetrieb 116 (12), 903-907, 2021 | 1 | 2021 |
| Control of hole rolling on 3D Servo Presses V Arne, DA Molitor, D Spies, M Knoll, P Groche Journal of Manufacturing Processes 131, 455-462, 2024 | | 2024 |
| Strategies for mastering uncertainty ME Pfetsch, E Abele, LC Altherr, C Bölling, N Brötz, I Dietrich, T Gally, ... Mastering Uncertainty in Mechanical Engineering, 365-456, 2021 | | 2021 |
| Controlling Product Properties in Forming Processes Using Reinforcement Learning-an Application to V-Die Bending CV Veitenheimer, DA Molitor, V Arne, P Groche Available at SSRN 4928064, 0 | | |
| KI-gestützte Regelung von unsicherheitsbehafteten Umformprozessen auf redundanten Mehrpunkt-Servopressen DA Molitor Technische Universität Darmstadt, 0 | | |
Christian KubikTechnische Universität Darmstadt在 ptu.tu-darmstadt.de 的电子邮件经过验证
