| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Kumar, Vipin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Vertical z-axis discontinuous carbon fibers for elevated lightning strike performance of continuous fiber-reinforced polymer compositescitations
- 2024Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturingcitations
- 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturingcitations
- 2023Modeling fiber orientation and strand shape morphology in three-dimensional material extrusion additive manufacturingcitations
- 2023The influence of carbon fiber composite specimen design parameters on artificial lightning strike current dissipation and material thermal damagecitations
- 2023Enhanced lightning strike protection using vertically oriented carbon fiber melded with conventional carbon fiber-reinforced composite and its validation through damage analysis
- 2023Numerical modeling of fiber orientation in additively manufactured compositescitations
- 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
- 2020Electrically conductive carbon fiber layers as lightning strike protection for non-conductive epoxy-based CFRP substratecitations
- 2016Synthesis and characterization of multiwalled CNT–PAN based composite carbon nanofibers via electrospinning
Places of action
| Organizations | Location | People |
|---|
document
Modelling of Additive Manufacturing - Compression Molding Process Using Computational Fluid Dynamics
Abstract
A computational fluid dynamics model has been developed to predict the behavior of a printed strands during a novel material extrusion additive manufacturing and compression molding process. While the traditional additive manufacturing process enables control over the fiber orientation within the part, it would also result in high void content. On the other hand, compression molding produces parts with low porosity levels at rapid processing cycle time but lacks control over the microstructure. The novel additive manufacturing - compression molding (AM-CM) integrating both these processes offers control over both the microstructure and porosity to manufacturing high performance composite parts. The numerical model developed here enables to analyze the effect of processing parameters on the behaviour of printed layer that is subsequently compressed and to determine the optimal printing parameters for high performance composite part design.