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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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Mangialetto, Jessica
Vrije Universiteit Brussel
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024Construction of furan-maleimide Diels-Alder reversible network cure diagrams: modelling and experimental validation
- 2024Effects of Cure on the Ionic Conductivity and Relaxation Strength of a Reversible Polymer Network Studied by Dielectric Spectroscopy.citations
- 2024Modelling of diffusion-controlled Diels-Alder reversible network formation and its application to cure diagrams
- 2023Diffusion- and mobility-controlled self-healing polymer networks with dynamic covalent bonding
- 2023Separating Kinetics from Relaxation Dynamics in Reactive Soft Matter by Dielectric Spectroscopycitations
- 2023Real-Time Determination of the Glass Transition Temperature during Reversible Network Formation Based on Furan–Maleimide Diels–Alder Cycloadditions Using Dielectric Spectroscopycitations
- 2022UV Stability of Self-Healing Poly(methacrylate) Network Layerscitations
- 2020Self-Healing in Mobility-Restricted Conditions Maintaining Mechanical Robustness: Furan–Maleimide Diels–Alder Cycloadditions in Polymer Networks for Ambient Applicationscitations
- 2019Diffusion- and Mobility-Controlled Self-Healing Polymer Networks with Dynamic Covalent Bondingcitations
- 2018The Effect of Vitrification on the Diels-Alder Reaction Kinetics
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document
Construction of furan-maleimide Diels-Alder reversible network cure diagrams: modelling and experimental validation
Abstract
In recent years, there has been significant research on thermoreversible networks utilizing Diels-Alder (DA) cycloadditions, particularly as self-healing materials. The DA reaction establishes two equilibria forming endo and exo cycloadducts, with covalent bond opening favored at high temperatures and the cycloadducts (re)formation preferred at low temperatures.1These dynamic bonds not only confer self-healing properties but also contribute to prolonged material lifetimes, heightened stability, reliability, and sustainability. Moreover, these enhancements address constraints common in classical network-forming materials, offering increased recyclability, reprocessability, and reshapeability,2 making them appealing for applications requiring mechanical robustness and thermomechanical stability. This implies the necessity of a (partially) vitrified network with a sufficiently high glass transition temperature (Tg). Self-healing as well as forward and retro-DA reaction will thus occur, at least partially, in diffusion-controlled conditions for most application temperatures.3–6<br/>This study concentrates on investigating the impact of vitrification on DA reaction kinetics within a reversible thermosetting network based on furan-maleimide chemistry. A novel mechanistic model for this vitrifying system is derived from the traditional two equilibria model, incorporating a diffusion-controlled encounter pair formation as an intermediary step.7 Through optimization of kinetic, thermodynamic, and diffusion parameters using calorimetric data and long-term Tg evolution, a set of parameters is obtained, capable of describing the system under both kinetically-controlled and diffusion-controlled conditions. These parameters are then used to simulate Time-Temperature-Transformation and Continuous-Heating-Transformation diagrams. These cure diagrams were then experimentally confirmed with Modulated Temperature Differential Scanning Calorimetry (for vitrification/de-vitrification phenomena) and dynamic rheometry (for gelation/de-gelation phenomena). The observed unique shape of these diagrams provide a visual representation of the differences in the cure process between these reversible networks and classical irreversible thermosets. This holds particular relevance in the context of material design and processing, especially concerning their potential applications in self-healing technologies.<br/>