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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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article
Numerical modeling of fiber orientation in additively manufactured composites
Abstract
Additive manufacturing has undergone a significant transformation, evolving from a mere prototyping technique to a reliable and proven manufacturing technology that can produce products of varying sizes and materials. The incorporation of fibers in additive manufacturing processes has the potential to improve a range of material properties, including mechanical, thermal, and electrical properties. However, this improvement is largely dependent on the orientation of the fibers within the material, with the properties being enhanced primarily in the direction of fiber orientation. As a result, accurately predicting and controlling the fiber orientation during the extrusion or deposition process is critical. Various methods are available to control fiber orientation, such as manipulating the nozzle shape, extrusion and nozzle speed, the gap between the nozzle and substrate, as well as fiber features like aspect ratio and volume fraction. At the same time, the presence and orientation of fibers can significantly impact the flow pattern and extrusion pressure conditions, ultimately affecting the formation of printed strands in a manner distinct from those without fibers. For that reason, our study utilizes computational fluid dynamics to anticipate and comprehend the printing conditions that would result in favorable fiber orientations and strand shapes, incl. corner printing. Our findings may be utilized to determine optimal toolpaths for 3D printing composites, as well as printing conditions that will facilitate the achievement of the desired fiber orientation within individual strands.