| Review on model predictive control: An engineering perspective M Schwenzer, M Ay, T Bergs, D Abel The International Journal of Advanced Manufacturing Technology 117 (5), 1327 …, 2021 | 429 | 2021 |
| Towards an infrastructure enabling the internet of production J Pennekamp, R Glebke, M Henze, T Meisen, C Quix, R Hai, L Gleim, ... 2019 IEEE international conference on industrial cyber physical systems …, 2019 | 149 | 2019 |
| The concept of digital twin and digital shadow in manufacturing T Bergs, S Gierlings, T Auerbach, A Klink, D Schraknepper, T Augspurger Procedia CIRP 101, 81-84, 2021 | 145 | 2021 |
| Digital image processing with deep learning for automated cutting tool wear detection T Bergs, C Holst, P Gupta, T Augspurger Procedia Manufacturing 48, 947-958, 2020 | 121 | 2020 |
| Dataflow challenges in an internet of production: a security & privacy perspective J Pennekamp, M Henze, S Schmidt, P Niemietz, M Fey, D Trauth, T Bergs, ... Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy …, 2019 | 79 | 2019 |
| FactDAG: formalizing data interoperability in an internet of production L Gleim, J Pennekamp, M Liebenberg, M Buchsbaum, P Niemietz, ... IEEE Internet of Things Journal 7 (4), 3243-3253, 2020 | 70 | 2020 |
| Development of a compression molding process for three-dimensional tailored free-form glass optics YY Allen, C Huang, F Klocke, C Brecher, G Pongs, M Winterschladen, ... Applied Optics 45 (25), 6511-6518, 2006 | 57 | 2006 |
| A hybrid approach using machine learning to predict the cutting forces under consideration of the tool wear B Peng, T Bergs, D Schraknepper, F Klocke, B Döbbeler Procedia Cirp 82, 302-307, 2019 | 55 | 2019 |
| A case for integrated data processing in large-scale cyber-physical systems R Glebke, M Henze, K Wehrle, P Niemietz, D Trauth, P Mattfeld MBA, ... | 41 | 2019 |
| Determination of Johnson-Cook material model parameters for AISI 1045 from orthogonal cutting tests using the Downhill-Simplex algorithm T Bergs, M Hardt, D Schraknepper Procedia Manufacturing 48, 541-552, 2020 | 34 | 2020 |
| Machine learning-based predictive modeling of contact heat transfer AT Vu, S Gulati, PA Vogel, T Grunwald, T Bergs International Journal of Heat and Mass Transfer 174, 121300, 2021 | 33 | 2021 |
| Stamping process modelling in an internet of production P Niemietz, J Pennekamp, I Kunze, D Trauth, K Wehrle, T Bergs Procedia Manufacturing 49, 61-68, 2020 | 32* | 2020 |
| Development and validation of a new friction model for cutting processes B Peng, T Bergs, D Schraknepper, T Smigielski, F Klocke The International Journal of Advanced Manufacturing Technology 107, 4357-4369, 2020 | 31 | 2020 |
| Modeling of thermo‐viscoelastic material behavior of glass over a wide temperature range in glass compression molding AT Vu, AN Vu, T Grunwald, T Bergs Journal of the American Ceramic Society 103 (4), 2791-2807, 2020 | 31 | 2020 |
| Development of a process signature for electrochemical machining T Bergs, S Harst CIRP Annals 69 (1), 153-156, 2020 | 31 | 2020 |
| Laser-assisted turning of advanced ceramics F Klocke, T Bergs Rapid Prototyping and Flexible Manufacturing 3102, 120-130, 1997 | 31 | 1997 |
| Private multi-hop accountability for supply chains J Pennekamp, L Bader, R Matzutt, P Niemietz, D Trauth, M Henze, ... 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 30 | 2020 |
| Cutting tool geometry for plunge milling–process optimization for a stainless steel M Witty, T Bergs, A Schäfer, G Cabral Procedia Cirp 1, 506-511, 2012 | 30 | 2012 |
| Laser‐Based Additive Manufacturing of WC–Co with High‐Temperature Powder Bed Preheating† S Fries, S Genilke, MB Wilms, M Seimann, A Weisheit, A Kaletsch, ... steel research international 91 (3), 1900511, 2020 | 28 | 2020 |
| Internet of Production-Turning Data into Value: Statusberichte aus der Produktionstechnik 2020 T Bergs, C Brecher, RH Schmitt, G Schuh Fraunhofer-Institut für Produktionstechnologie IPT, 2020 | 28 | 2020 |
