| People | Locations | Statistics |
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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
Places of action
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article
Modeling of viscoelastic behavior of a shape memory polymer blend
Abstract
<jats:title>Abstract</jats:title><jats:p>Shape memory effect (SME) of polymers is a property that concerns both, macroscopic and microscopic changes. The variation of internal polymer properties such, as molecular weight (<jats:italic>M</jats:italic><jats:sub>w</jats:sub>), rigidity, and viscoelasticity could alter its SME. In this study, a bi‐parabolic model with six parameters is used to describe the viscoelastic behavior of a shape memory polymer (SMP) blend (40% poly(caprolactone), PCL/60% Styrene–Butadiene–Styrene) with different PCL <jats:italic>M</jats:italic><jats:sub>w</jats:sub>. These parameters are determined using the Cole–Cole method. Modeling curves (<jats:italic>E</jats:italic>″ = <jats:italic>f</jats:italic> (<jats:italic>E</jats:italic>′)) will be then compared to experimental data from dynamical mechanical analysis (DMA) tests. It is shown that the bi‐parabolic model predicts well the behavior of the SMP mixture for different <jats:italic>M</jats:italic><jats:sub>w</jats:sub> of PCL. Afterwards, the evolution of the model parameters with the <jats:italic>M</jats:italic><jats:sub>w</jats:sub> of PCL is investigated. It is revealed that, when <jats:italic>M</jats:italic><jats:sub>w</jats:sub> of PCL drops, the relaxation modulus <jats:italic>E</jats:italic><jats:sub>0</jats:sub> increases. This result proves that the rigidity of the SMP blend rises with <jats:italic>M</jats:italic><jats:sub>w</jats:sub> declines.</jats:p>