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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Wittemann, Florian
Karlsruhe Institute of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024Anisotropic warpage prediction of injection molded parts with phenolic matrix
- 2024Initial stack placement strategies for carbon fiber- reinforced sheet molding compound (C-SMC)
- 2024Modeling Approach for Reactive Injection Molding of Polydisperse Suspensions with Recycled Thermoset Compositescitations
- 2023Numerical Study on Uncertainty Effects in Injection Molding
- 2023Fiber breakage modeling based on hydrodynamic forces in macroscopic process simulations
- 2022Fiber breakage modeling based on hydrodynamic forces in macroscopic process simulations
- 2022Fiber-dependent injection molding simulation of discontinuous reinforced polymers
- 2022Fiber-dependent injection molding simulation of discontinuous reinforced polymers
- 2022Influence of fiber breakage on flow behavior in fiber length- and orientation-dependent injection molding simulationscitations
- 2021Theoretical approximation of hydrodynamic and fiber-fiber interaction forces for macroscopic simulations of polymer flow process with fiber orientation tensorscitations
- 2019Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method
- 2019Using openfoam for simulation of reactive injection molding as a non-isothermal compressible multiphase flow
- 2019Simulation of Discontinuous Fiber Reinforced Composites along the CAE-Chain
- 2019Injection Molding Simulation with Fiber Length Dependent Flow Modelling
- 2018Simulation of Reinforced Reactive Injection Molding with the Finite Volume Methodcitations
- 2018Evaluation of an Integral Injection Molded Housing for High Power Density Synchronous Machines with Concentrated Single-Tooth Windingcitations
- 2018Using openfoam for simulation of reactive injection molding as a non-isothermal compressible multiphase flow
- 2018Simulation of Discontinuous Fiber Reinforced Composites along the CAE-Chain
- 2018Simulation of reinforced reactive injection molding with the finite volume methodcitations
- 2017Modeling of the non-isothermal crystallization kinetics of polyamide 6 composites during thermoformingcitations
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article
Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method
Abstract
The reactive process of reinforced thermoset injection molding significantly influences the mechanical properties of the final composite structure. Therefore, reliable process simulation is crucial to predict the process behavior and relevant process effects. Virtual process design is thus highly important for the composite manufacturing industry for creating high quality parts. Although thermoset injection molding shows a more complex flow behavior, state of the art moldingsimulation software typically focusses on thermoplastic injection molding. To overcome this gap in virtual process prediction, the present work proposes a finite volume (FV) based simulation method, which models the multiphase flow with phase-dependent boundary conditions. Compared to state-of-the-art Finite-Element-based approaches, Finite-Volume-Method (FVM) provides more adequate multiphase flow modeling by calculating the flow at the cell surfaces with an Eulerian approach. The new method also enables the description of a flow region with partial wall contact.Furthermore, fiber orientation, curing and viscosity models are used to simulate the reinforced reactive injection molding process. The open source Computational-Fluid-Dynamics (CFD) toolbox OpenFOAM is used for implementation. The solver is validated with experimental pressure data recorded during mold filling. Additionally, the simulation results are compared to commercial Finite-Element-Method software. The simulation results of the new FV-based CFD method fit well with the experimental data, showing that FVM has a high potential for modeling reinforced reactive injection molding.