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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
Modeling Approach for Reactive Injection Molding of Polydisperse Suspensions with Recycled Thermoset Composites
Abstract
Recycling production waste in the reactive injection molding (RIM) process is a step towards sustainability and efficient material usage. The recycled thermoset composite (RTC) material obtained by shredding the production waste is reused with a virgin thermoset composite (VTC). This study presents a mold-filling simulation approach considering this polydisperse suspension of RTC and VTC. Mold-filling simulations can assist in predicting processability and assessing the impact of reinforced RTC on the final part of production. State-of-the-art mold-filling simulations use the Cross–Castro–Macosko (CCM) model or anisotropic fiber-orientation-dependent viscosity models. The rheological parameters are determined either for the VTC or neat resin. However, these models do not account for changes in viscosity due to the reinforcing of fillers such as RTC. An effective viscosity model is developed by extending the CCM model using the stress–strain amplification approach to overcome this gap. This model is implemented in the computational fluid dynamics code OpenFOAM, and simulations are performed using an extended multiphase solver. To validate the simulations, experimental trials were executed using a two-cavity mold equipped with pressure sensors. Molding compounds with different compositions of VTC and RTC were injected at different speeds. Reinforcing VTC with RTC increases the viscosity. Results demonstrate that RTC-reinforced compounds require higher injection pressure for mold filling than VTC alone. The qualitative agreement of pressure profiles from simulations and experiments for different proportions of reinforcing RTC and different injection speeds shows that the implemented viscosity model can reproduce the experimental mold-filling behavior.