Compression molding (SMC/LFT)

The simulation of the compression molding process of discontinuous reinforced polymer aims at describing the mold filling of a moving mold cavity.  We focus on the manufacturing process of long fiber reinforced thermoplastics (LFT) and sheet molding compound (SMC). In these simulations, the flow process is considered taking into account process parameters and material properties. As a result, the filling state, fiber orientation and process forces are predicted.


Research focus
  • Modeling anisotropic flow
  • Direct Bundle Simulation for a precise prediction of the fiber architecture
  • Direct simulation of fiber suspensions for parameterisation of macroscopic fiber suspensions
  • Process optimization
  • Warpage simulation


Research projects

Dr.-Ing. Nils Meyer
Tel.: +49 721 608-45385
Email: nils.meyer∂


M.Sc. Louis Schreyer
Tel.: +49 721 608-45380
Email: louis.schreyer∂


M.Eng. Marcel Olma
Email: marcel.olma∂


Compression molding simulation

Selected publications in the research field

A Benchmark for Fluid-Structure Interaction in Hybrid Manufacturing: Coupled Eulerian-Lagrangian Simulation
Meyer, N.; Werner, H. O.; Seuffert, J.; Dietrich, S.; Poppe, C.; Krauß, C.; Kärger, L.
2021, July 21. 5th International Conference on Hybrid Materials and Structures (2022), Leoben, Austria, July 20–22, 2022
A Benchmark for Fluid-Structure-Interaction in Hybrid Manufacturing: Simulation with preCICE in OpenFOAM
Dietrich, S.; Seuffert, J.; Werner, H.; Meyer, N.; Christian, P.; Krauß, C.; Kärger, L.
2022, June 9. 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022), Oslo, Norway, June 5–9, 2022
Manufacturing Simulation of Sheet Molding Compound (SMC)
Revfi, S.; Albers, A.; Meyer, N.; Kärger, L.; Schöttl, L.; Bartkowiak, M.; Behdinan, K.
2021. NAFEMS World Congress (NWC 2021)
Material and particle size sensitivity analysis on coefficient of restitution in low-velocity normal impacts
Meyer, N.; Wagemann, E. L.; Jackstadt, A.; Seifried, R.
2022. Computational Particle Mechanics. doi:10.1007/s40571-022-00471-z
Experimental and Numerical Analysis of SMC Compression Molding in Confined Regions : A Comparison of Simulation Approaches
Rothenhäusler, F.; Meyer, N.; Wehler, S.; Hohberg, M.; Gude, M.; Henning, F.; Kärger, L.
2022. Journal of composites science, 6 (3), Art.-Nr.: 68. doi:10.3390/jcs6030068
A sequential approach for simulation of thermoforming and squeeze flow of glass mat thermoplastics
Dörr, D.; Ivanov, S.; Gergely, R.; Meyer, N.; Henning, F.; Straatman, A. G.; Hrymak, A.
2021. ESAFORM 2021: 24th International Conference on Material Forming ; 14-16 April 2021, online, Art.-Nr.: 376, Université de Liège. doi:10.25518/esaform21.376
Mesoscale simulation of the mold filling process of Sheet Molding Compound. PhD dissertation
Meyer, N.
2021, October 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000138778
Modeling Short-Range Interactions in Concentrated Newtonian Fiber Bundle Suspensions
Meyer, N.; Hrymak, A. N.; Kärger, L.
2021. International Polymer Processing, 36 (3), 255–263. doi:10.1515/ipp-2020-4051
Parameter Identification of Fiber Orientation Models Based on Direct Fiber Simulation with Smoothed Particle Hydrodynamics
Meyer, N.; Saburow, O.; Hohberg, M.; Hrymak, A. N.; Henning, F.; Kärger, L.
2020. Journal of composites science, 4 (2), 77. doi:10.3390/jcs4020077
Direct Bundle Simulation approach for the compression molding process of Sheet Molding Compound
Meyer, N.; Schöttl, L.; Bretz, L.; Hrymak, A. N.; Kärger, L.
2020. Composites / A, 132, Article: 105809. doi:10.1016/j.compositesa.2020.105809
A revisit of Jeffery‘s equation - modelling fiber suspensions with Smoothed Particle Hydrodynamics
Meyer, N.; Saburow, O.; Hohberg, M.; Hrymak, A.; Henning, F.; Kärger, L.
2018, September 27. Materials Science and Engineering Congress (MSE 2018), Darmstadt, Germany, September 26–28, 2018
Virtual process chain of sheet molding compound: Development, validation and perspectives
Görthofer, J.; Meyer, N.; Pallicity, T. D.; Schöttl, L.; Trauth, A.; Schemmann, M.; Hohberg, M.; Pinter, P.; Elsner, P.; Henning, F.; Hrymak, A.; Seelig, T.; Weidenmann, K.; Kärger, L.; Böhlke, T.
2019. Composites / B, 169, 133–147. doi:10.1016/j.compositesb.2019.04.001