| 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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Mollah, Md. Tusher
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturingcitations
- 2024Optimization of core groove geometry for the manufacture and operation of composite sandwich structures in wind turbine blades
- 2024Computational fluid dynamics modelling of vacuum-assisted resin infusion in composite sandwich panels during wind turbine blade manufacturing
- 2024Rheology and printability of cement paste modified with filler from manufactured sand
- 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturingcitations
- 2023Computational analysis of yield stress buildup and stability of deposited layers in material extrusion additive manufacturingcitations
- 2023Computational Fluid Dynamics Modelling and Experimental Analysis of Material Extrusion Additive Manufacturing
- 2023Numerical modeling of fiber orientation in additively manufactured compositescitations
- 2022Modelling Fiber Orientation During Additive Manufacturing-Compression Molding Processes
- 2022Modelling Fiber Orientation During Additive Manufacturing-Compression Molding Processes
- 2022Modelling of Additive Manufacturing - Compression Molding Process Using Computational Fluid Dynamics
- 2022Modelling of Additive Manufacturing - Compression Molding Process Using Computational Fluid Dynamics
- 2022Numerical Predictions of Bottom Layer Stability in Material Extrusion Additive Manufacturingcitations
- 2022A Numerical Investigation of the Inter-Layer Bond and Surface Roughness during the Yield Stress Buildup in Wet-On-Wet Material Extrusion Additive Manufacturing
- 2022A Numerical Investigation of the Inter-Layer Bond and Surface Roughness during the Yield Stress Buildup in Wet-On-Wet Material Extrusion Additive Manufacturing
- 2021Stability and deformations of deposited layers in material extrusion additive manufacturingcitations
- 2021Numerical simulation of multi-layer 3D concrete printingcitations
Places of action
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document
Computational fluid dynamics modelling of vacuum-assisted resin infusion in composite sandwich panels during wind turbine blade manufacturing
Abstract
The manufacturing of wind turbine blades predominantly features composite sandwich panels made through the Vacuum-Assisted Resin Infusion (VARI) process. These sandwich regions involve multiple components, which include a lightweight balsa or foam core with grooves and channels encased in non-crimp glass-fibre fabric skins. Understanding resin flow behaviour and infusion time through these materials is difficult as there are a large number of parameters to consider. Therefore, this study focuses on developing a Computational Fluid Dynamics (CFD) model to provide a more accurate prediction of resin flow for the investigation of a wide range of parametric changes. The CFD model is initially developed to simulate resin flow through the lower reinforcement layers and shallow grooves of composite sandwich panels. The simulated flow front has been compared with the experimental ones captured at the top and bottom of the fabric at different infusion times. The experimental and simulated results agree relatively well; providing a new venue for investigating resin infusion performance through complex features of the layup. Furthermore, the model has been exploited to investigate the influence of groove spacing on the flow front, resin-filled volume, and infusion time.