Heterogeneity Effects in Highly Cross-Linked Polymer Networks - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Polymers Année : 2021

Heterogeneity Effects in Highly Cross-Linked Polymer Networks

Gérald Munoz
  • Fonction : Auteur
Alain Dequidt
Ronald Blaak
Julien Devémy
Sébastien Garruchet
Benoit Latour
  • Fonction : Auteur
Etienne Munch
  • Fonction : Auteur
Patrice Malfreyt

Résumé

Despite their level of refinement, micro-mechanical, stretch-based and invariant-based models, still fail to capture and describe all aspects of the mechanical properties of polymer networks for which they were developed. This is for an important part caused by the way the microscopic inhomogeneities are treated. The Elastic Network Model (ENM) approach of reintroducing the spatial resolution by considering the network at the level of its topological constraints, is able to predict the macroscopic properties of polymer networks up to the point of failure. We here demonstrate the ability of ENM to highlight the effects of topology and structure on the mechanical properties of polymer networks for which the heterogeneity is characterised by spatial and topological order parameters. We quantify the macro- and microscopic effects on forces and stress caused by introducing and increasing the heterogeneity of the network. We find that significant differences in the mechanical responses arise between networks with a similar topology but different spatial structure at the time of the reticulation, whereas the dispersion of the cross-link valency has a negligible impact.
Fichier principal
Vignette du fichier
polymers-13-00757-v2.pdf (472.15 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03159245 , version 1 (28-05-2021)

Licence

Paternité

Identifiants

Citer

Gérald Munoz, Alain Dequidt, Nicolas Martzel, Ronald Blaak, Florent Goujon, et al.. Heterogeneity Effects in Highly Cross-Linked Polymer Networks. Polymers, 2021, 13 (5), pp.757. ⟨10.3390/polym13050757⟩. ⟨hal-03159245⟩
71 Consultations
62 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More