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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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Kallel, Achraf
Institut de Recherche Technologique SystemX
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Investigation of manufacturing process effects on microstructure and fatigue prediction in composite automotive tailgate designcitations
- 2024Investigation of manufacturing process effects on microstructure and fatigue prediction in composite automotive tailgate designcitations
- 2024Viscoelastic-damageable behavior of sheet molding compound (SMC) composites
- 2024Study of composite polymer degradation for high pressure hydrogen vessel by machine learning approachcitations
- 2024Investigation of manufacturing process effects on microstructure and fatigue prediction in composite automotive tailgate design ; Int J Adv Manuf Technolcitations
- 2023Manufacturing Process Effect on the Mechanical Properties of Glass Fiber/Polypropylene Composite Under High Strain Rate Loading: Woven (W-GF-PP) and Compressed GF50-PPcitations
- 2022Modeling of viscoelastic behavior of a shape memory polymer blendcitations
- 2021Molecular weight influence on shape memory effect of shape memory polymer blend (poly(caprolactone)/ styrene‐butadiene‐styrene )citations
- 2021Molecular weight influence on shape memory effect of shape memory polymer blend (poly(caprolactone)/<scp>styrene‐butadiene‐styrene</scp>)citations
- 2021Modeling of viscoelastic behavior of a shape memory polymer blendcitations
- 2020Molecular weight influence on shape memory effect of shape memory polymer blend (poly(caprolactone)/ styrene‐butadiene‐styrene )citations
- 2019Enzymatic Hydrolysis of Poly (Caprolactone) and its Blend with Styrene–Butadiene–Styrene (40% PCL/60% SBS)citations
- 2019Introduction of the Diffusion Stage into the Bubble Growth Model
- 2019Study of Bonding Formation between the Filaments of PLA in FFF Processcitations
- 2015Stability analysis of a polymer film casting problemcitations
- 2014Stability analysis of a polymer coating process
- 2013Hot pressing of thermoelectric materials for high temperature energy harvesting ; Compaction à chaud de nanopoudres SiGe : du process aux propriétés thermoélectriques
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article
Study of Bonding Formation between the Filaments of PLA in FFF Process
Abstract
<jats:title>Abstract</jats:title><jats:p>Fused filament fabrication (FFF) is an additive manufacturing (AM) process that provides physical objects commonly used for modeling, prototyping and production applications. The major drawback of this process is poor mechanical property due to the porous structure of final parts. This process requires careful management of coalescence phenomenon. In this paper, the major influencing factors during the FFF processing of poly(lactic acid) (PLA) were investigated experimentally and with a numerical model. It has been shown that the polymer temperature has a significant effect on the rheological behavior of PLA, especially on the adhesion of the filaments. An experimental set-up has been placed in the machine to have the cyclic temperature of the filament. A variation of the polymer temperature influences process parameters such as feed rate, temperature of the nozzle and temperature of the platform. The results showed that the amount of polymeric coalescence (neck growth) rises when increasing the feed rate, the nozzle temperature, and the platform temperature. A model to predict the neck growth is proposed. It predicts a lower amount of neck growth value than obtained experimentally. This difference has been explained as the effect of other phenomena, such as polymer relaxation time, pressure of the nozzle and especially cyclic temperature which is not taken into account in the model.</jats:p>