| 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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document
Using openfoam for simulation of reactive injection molding as a non-isothermal compressible multiphase flow
Abstract
Reactive injection molding (RIM) is one of the most important processes for large-scale production of discontinuous fiber reinforced composites with thermoset matrices. The process conditions control the final part performance. To achieve the quality standards and the economic demands of automotive industry, it is crucial to thoroughly design the process by reliable process simulation. State of the art simulation software focusses on thermoplastic injection molding and uses the same models for thermoplastic and reactive injection molding. However, thermosets reveal a complex and different flow behavior during form filling, compared to thermoplastic composites. Therefore, the present study uses a new RIM-focused solver, which is based on the Finite Volume Method (FVM) and uses well-known viscosity and curing kinetic models for thermoset materials. Non-isothermal, compressible multiphase flows are simulated with phase-dependent boundary conditions, separating air and polymer, to enable mold filling and predicting the final fiber orientation distribution. The FVM simulations are conducted with the open source CFD toolbox OpenFOAM. The solver is compared to commercial FEM software and experimental pressure measurements at different points during mold filling. The simulation results of the RIM-focused solver agree well with the experiments, revealing the high potential of FVM for simulation of reactive injection molding. The solver is compared to commercial FEM software and experimental pressure measurements at different points during mold filling. The simulation results of the RIM-focused solver agree well with the experiments, revealing the high potential of FVM for simulation of reactive injection molding.