| 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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Parisi, Daniele
University of Groningen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Phase inversion detection in immiscible binary polymer blends via zero-shear viscosity measurementscitations
- 2024Phase inversion detection in immiscible binary polymer blends via zero-shear viscosity measurementscitations
- 2024A novel SBS compound via blending with PS-B-PMBL diblock copolymer for enhanced mechanical propertiescitations
- 2024Enzymatic bulk synthesis, characterization, rheology, and biodegradability of biobased 2,5-bis(hydroxymethyl)furan polyesterscitations
- 2023Effect of Dynamically Arrested Domains on the Phase Behavior, Linear Viscoelasticity and Microstructure of Hyaluronic Acid - Chitosan Complex Coacervatescitations
- 2023Effect of Dynamically Arrested Domains on the Phase Behavior, Linear Viscoelasticity and Microstructure of Hyaluronic Acid - Chitosan Complex Coacervatescitations
- 2023Gelation and Re-entrance in Mixtures of Soft Colloids and Linear Polymers of Equal Sizecitations
- 2023Hydrophobically modified complex coacervates for designing aqueous pressure-sensitive adhesivescitations
- 2023Hydrophobically modified complex coacervates for designing aqueous pressure-sensitive adhesivescitations
- 2023Undershoots in shear startup of entangled linear polymer blendscitations
- 2022Alternative use of the sentmanat extensional rheometer to investigate the rheological behavior of industrial rubbers at very large deformationscitations
- 2021Nonlinear rheometry of entangled polymeric rings and ring-linear blendscitations
- 2021Internal Microstructure Dictates Interactions of Polymer-grafted Nanoparticles in Solutioncitations
- 2021Effect of softness on glass melting and re-entrant solidification in mixtures of soft and hard colloidscitations
- 2021Tunable Hydrogels with Improved Viscoelastic Properties from Hybrid Polypeptidescitations
- 2021Rheological response of entangled isotactic polypropylene melts in strong shear flowscitations
- 2021Nonlinear Shear Rheology of Entangled Polymer Ringscitations
- 2020Flow-induced crystallization of poly(ether ether ketone)citations
- 2020Determination of intrinsic viscosity of native cellulose solutions in ionic liquidscitations
- 2020Stress Relaxation in Symmetric Ring-Linear Polymer Blends at Low Ring Fractionscitations
- 2020Shear Flow-Induced Crystallization of Poly(ether ether ketone)citations
- 2019Extensional rheology of ring polystyrene melt and linear/ring polystyrene blends
- 2019Extensional rheology of ring polystyrene melt and linear/ring polystyrene blends
- 2018Asymmetric soft-hard colloidal mixturescitations
Places of action
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article
Shear Flow-Induced Crystallization of Poly(ether ether ketone)
Abstract
<p>When a semicrystalline polymer melt is subjected to sufficient flow before crystallization, the nucleation rate is accelerated. In this study, the degree of acceleration is investigated with a commercial poly(ether ether ketone), using a rotational rheometer. With a constant shearing time (t<sub>s</sub> = 1 s), the nucleation rate increases with the shear rate (10 s<sup>-1</sup> < γ&dot; < 200 s<sup>-1</sup>). At a constant shear rate (γ&dot; = 20 s<sup>-1</sup>), the nucleation rate increases with the shearing time (1 s < t<sub>s</sub> < 15 s). For a constant strain (γ= γ&dot;t<sub>s</sub> = 300), high shear rates with short shearing times enhance the nucleation rate more than low shear rates with long shearing times. The specific work (W = σγ, where σ is the shear stress) reduces all nucleation times to a common curve. A flow-induced nucleation model is suggested based on the entropy reduction model of Flory and the isothermal nucleation model of Hoffman and Lauritzen. A key ingredient is the critical volume of the nucleus, found to be 8-10 nm<sup>3</sup>, which corresponds to 3-4 Kuhn segments for PEEK.</p>