| People | Locations | Statistics |
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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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Maertens, Robert
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2024Development of a direct process for the production of long glass fiber reinforced phenolic resins
- 2023Fiber breakage modeling based on hydrodynamic forces in macroscopic process simulations
- 2022Process Development and Material Characterization for the Injection Molding of Long Glass Fiber-Reinforced Phenol Formaldehyde Resins
- 2022Development of an injection molding process for long glass fiber-reinforced phenolic resinscitations
- 2022Fiber breakage modeling based on hydrodynamic forces in macroscopic process simulations
- 2022Study of material homogeneity in the long fiber thermoset injection molding process by image texture analysiscitations
- 2021Fiber shortening during injection molding of glass fiber-reinforced phenolic molding compoundscitations
- 2021Fiber shortening during injection molding of glass fiber-reinforced phenolic molding compounds: fiber length measurement method development and validationcitations
- 2021Compounding of short fiber reinforced phenolic resin by using specific mechanical energy input as a process control parametercitations
- 2021Compounding of Short Fiber Reinforced Phenolic Resin by Using Specific Mechanical Energy Input as a Process Control Parameter ; Compoundieren von kurzfaserverstärktem Phenolharz durch Verwendung spezifischer mechanischer Energieeingaben als Prozesssteuerungsparametercitations
- 2021Study of a polymer ejector design and manufacturing approach for a mobile air conditioning ; Étude d'une approche de conception et de fabrication d'un éjecteur en polymère pour un système de conditionnement d'air mobilecitations
- 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
- 2018Simulation of Reinforced Reactive Injection Molding with the Finite Volume Methodcitations
- 2018Using openfoam for simulation of reactive injection molding as a non-isothermal compressible multiphase flow
- 2018Simulation of reinforced reactive injection molding with the finite volume methodcitations
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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.