Samenvatting
Polymer additive manufacturing has transformed itself from a technology that is mainly focused on rapid prototyping to a widely received manufacturing technique for highly customised products. In fused filament fabrication (FFF), due to the fast heating and cooling of the polymer, the printed part's crystallinity and mechanical properties are inevitably affected. This research proposes a numerical approach to predict the final crystallinity for FFF printed polyamide 6/short carbon fibre composite. To do so, samples were built with the FFF technique with their temperature history recorded by infrared camera measurements. Differential scanning calorimetry (DSC) was conducted on the FFF filament to calibrate the numerical model. Temperature history was used as input for the model and the printed part’s final crystallinity is predicted. Tensile tests were carried out to examine the influence of crystallinity on the printed part’s mechanical performance.
Originele taal-2 | English |
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Titel | CRYSTALLINITY PREDICTION OF SHORT CARBON FIBRE REINFORCED POLYAMIDE 6 COMPOSITES MANUFACTURED BY FUSED FILAMENT FABRICATION |
Redacteuren | Anastasios P. Vassilopoulos, Veronique Michaud |
Plaats van productie | Proceedings of the 20th European Conference on Composite Materials - Composites Meet Sustainability |
Uitgeverij | EPFL Lausanne, Composite Construction Laboratory |
Pagina's | 399-406 |
Aantal pagina's | 8 |
Volume | 2 |
ISBN van elektronische versie | 978-2-9701614-0-0 |
DOI's | |
Status | Published - 12 dec 2022 |
Publicatie series
Naam | ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability |
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Volume | 2 |
Bibliografische nota
Funding Information:The authors gratefully acknowledge the support from Department for Economy (DfE) for funding the project.
Funding Information:
The authors acknowledge the support of the Agency for Innovation and Entrepreneurship Flanders via the Strategic Initiative Materials in Flanders in the framework of the SIM-SBO PET2VALUE project, running in the NANOFORCE program.
Publisher Copyright:
© 2022 Zhu et al.
Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.