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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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Bernath, Alexander
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024Anisotropic warpage prediction of injection molded parts with phenolic matrix
- 2024Warpage modelling of carbon fibre reinforced SMC components in automotive applications
- 2019Simulation of Reinforced Reactive Injection Molding with the Finite Volume Method
- 2019Simulation methods for process design of structural composite components
- 2019Experimental and numerical study of the spring-in of angled brackets manufactured using different resins and fiber textilescitations
- 2019Experimental and numerical study of the spring-in of angled brackets manufactured using different resins and fiber textilescitations
- 2018Simulation of Reinforced Reactive Injection Molding with the Finite Volume Methodcitations
- 2018Numerical and experimental investigation of manufacturing and performance of metal inserts embedded in CFRPcitations
- 2018Experimental and numerical study of the influence of integrated load transmission elements on filling behavior in resin transfer moldingcitations
- 2016Accurate cure modeling for isothermal processing of fast curing epoxy resinscitations
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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.