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 |
---|
article
Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing
Abstract
Fiber orientation is a critical factor in determining the mechanical, electrical, and thermal properties of 3D-printed short-fiber polymer composites. However, the current numerical studies on predicting fiber orientation are limited to straight single-strand configurations, while the actual printed parts are often composed of complex multi-layer structures. To address this issue, we conducted numerical simulations of material extrusion in multi-layer big-area additive manufacturing without any post-deposition strand morphology modification mechanism. By examining the effects of material properties and printing conditions when extruding and depositing strands on a fixed substrate as well as previously deposited layers, it was possible to observe the complex interplay between multiple layers and its impact on fiber orientation. The work and methodology presented in this paper can be used to identify optimal extrusion-to-nozzle speed ratios, material rheology, fiber content, and fiber aspect ratio to achieve the desired performance and thermo/mechanical properties of additively manufactured parts. This work is an important contribution towards the manufacture of high-performance, short-fiber polymer composites as the presented methodology can enable engineers to precisely predict and tailor the fiber orientation in 3D printed parts.