Clemens Zimmerling

Dipl.-Ing. Clemens Zimmerling

Research Focus

  • Design and Structural Simulation of continuous-fibre reinforced composite components
  • Virtual Optimisation of Textile Forming Processes
  • Application of Machine Learning Techniques in component and process design


Formability Assessment of Variable Geometries Using Machine Learning - Analysis of the Influence of the Database
Zimmerling, C.; Fengler, B.; Kärger, L.
2022. Key Engineering Materials, 926, 2247–2257. doi:10.4028/p-1o0007
Optimisation of manufacturing process parameters for variable component geometries using reinforcement learning
Zimmerling, C.; Poppe, C.; Stein, O.; Kärger, L.
2022. Materials and Design, 214, Art.-Nr.: 110423. doi:10.1016/j.matdes.2022.110423
Deep neural networks as surrogate models for time-efficient manufacturing process optimisation
Zimmerling, C.; Schindler, P.; Seuffert, J.; Kärger, L.
2021. ESAFORM 2021 - 24th International Conference on Material Forming, ULiège Library. doi:10.25518/esaform21.3882
Estimation of Load-Time Curves Using Recurrent Neural Networks Based On Can Bus Signals
Herz, D.; Krauß, C.; Zimmerling, C.; Grupp, B.; Gauterin, F.
2021. 14th World Congress on Computational Mechanics - WCCM & ECCOMAS Congress 2020 : virtual congress, 11-15 January, 2021 / IACM, ECCOMAS. Ed.: F. Chinesta, International Centre for Numerical Methods in Engineering (CIMNE). doi:10.23967/wccm-eccomas.2020.138
Rapid Determination of Suitable Reinforcement Type in Continuous-Fibre-Reinforced Composites For Multiple Load Cases
Zimmerling, C.; Fengler, B.; Wen, H.; Fan, Z.; Kärger, L.
2020, September 1. 23rd / 6th Joint Event: International Conference on Composite Structures - International Conference on Mechanics of Composites (ICCS / MECHCOMP 2020), Porto, Portugal, September 1–4, 2020
Virtual Product Development Using Simulation Methods and AI
Zimmerling, C.; Poppe, C.; Kärger, L.
2019. Lightweight Design worldwide, 12 (6), 12–19. doi:10.1007/s41777-019-0064-x
Virtuelle Produktentwicklung mittels Simulationsmethoden und KI
Zimmerling, C.; Poppe, C.; Kärger, L.
2019. Lightweight design, 12 (6), 12–19. doi:10.1007/s35725-019-0069-8
Zeit- und kosteneffiziente Prozess und Produktentwicklung für den Hochleistungs-Faserverbundleichtbau unterstützt durch Techniken des Maschinellen Lernens
Zimmerling, C.; Kärger, L.; Carosella, S.; Middendorf, P.; Henning, F.
2019, May 20. 6. Technologietag Hybrider Leichtbau (2019), Leinfelden-Echterdingen, Germany, May 20–21, 2019
Development of a modular draping test bench for analysis of infiltrated woven fabrics in wet compression molding
Albrecht, F.; Zimmerling, C.; Poppe, C.; Kärger, L.; Henning, F.
2019. Key engineering materials, 809, 35–40. doi:10.4028/
An approach for rapid prediction of textile draping results for variable composite component geometries using deep neural networks
Zimmerling, C.; Trippe, D.; Fengler, B.; Kärger, L.
2019. Proceedings of the 22nd International ESAFORM Conference on Material Forming ; Vitoria-Gasteiz, Spain, 8–10 May 2019. Ed.: L. Galdos, Art.-Nr.: 020007, American Institute of Physics (AIP). doi:10.1063/1.5112512
Forming optimisation embedded in a CAE chain to assess and enhance the structural performance of composite components
Kärger, L.; Galkin, S.; Zimmerling, C.; Dörr, D.; Linden, J.; Oeckerath, A.; Wolf, K.
2018. Composite structures, 192, 143–152. doi:10.1016/j.compstruct.2018.02.041
Advanced Macroscopic Modelling Approaches for FE Composite Forming Simulation Using Abaqus
Dörr, D.; Poppe, C.; Zimmerling, C.; Krauß, C.; Schäfer, B.; Henning, F.; Kärger, L.
2018. SIMULIA Regional User Meeting (2018), Hanau, Germany, December 4, 2018
Continuous Process Simulation for Continuous Fiber Reinforced Composites
Kärger, L.; Dörr, D.; Poppe, C.; Seuffert, J.; Bernath, A.; Galkin, S.; Zimmerling, C.; Henning, F.
2018. International VDI Conference - Simulation in Automotive Lightweight Engineering (2018), Amsterdam, Netherlands, April 25–26, 2018
Application and Evaluation of Meta-Model Assisted Optimisation Strategies for Gripper-Assisted Fabric Draping in Composite Manufacturing
Zimmerling, C.; Pfrommer, J.; Liu, J.; Beyerer, J.; Henning, F.; Kärger, L.
2018. 18th European Conference on Composite Materials (ECCM 2018), Athen, GR, June 24-28, 2018
Optimisation of manufacturing process parameters using deep neural networks as surrogate models
Pfrommer, J.; Zimmerling, C.; Liu, J.; Kärger, L.; Henning, F.; Beyerer, J.
2018. 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018; Stockholm Waterfront Congress CentreStockholm; Sweden; 16 May 2018 through 18 May 2018. Ed.: T. Kjellberg, 426–431, Elsevier. doi:10.1016/j.procir.2018.03.046
A meta-model based approach for rapid formability estimation of continuous fibre reinforced components
Zimmerling, C.; Dörr, D.; Henning, F.; Kärger, L.
2018. Proceedings of the 21st International ESAFORM Conference on Material Forming : ESAFORM 2018 : Palermo, Italy, 23-25 April 2018. Ed.: L. Fratini, Art.Nr. 020042, American Institute of Physics (AIP). doi:10.1063/1.5034843
Zeit- und kosteneffiziente Prozess- und Produktentwicklung für den Hochleistungs-Faserverbundleichtbau mittels Nasspresstechnologie
Poppe, C.; Fial, J.; Kärger, L.; Carosella, S.; Albrecht, F.; Zimmerling, C.; Draskovic, M.; Engelfried, M.
2017, May 30. 4. Technologietag Hybrider Leichtbau (2017), Stuttgart, Germany, May 30–31, 2017
Zeit- und kosteneffiziente Prozess- und Produktentwicklung für den Hochleistungs-Faserverbundleichtbau im Rahmen der Nasspresstechnologie
Poppe, C.; Zimmerling, C.; Albrecht, F.; Hüttl, J.; Fial, J.; Engelfried, M.
2017, January 31. Marktplatz Leichtbau (2017), Ludwigsburg, Germany, January 31, 2017