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Equilibration dynamics of a dynamic covalent network diluted in a metallosupramolecular polymer matrix

Authors :
UCL - SST/IMCN/BSMA - Bio and soft matter
Lyons, Rowanne
Hammer, Larissa
André, Alexis
Fustin, Charles-André
Nicolaÿ, Renaud
Van Ruymbeke, Evelyne
UCL - SST/IMCN/BSMA - Bio and soft matter
Lyons, Rowanne
Hammer, Larissa
André, Alexis
Fustin, Charles-André
Nicolaÿ, Renaud
Van Ruymbeke, Evelyne
Source :
Journal of Rheology, Vol. 66, no.6, p. 1349-1364 (2022)
Publication Year :
2022

Abstract

We investigate the viscoelastic properties of double dynamic networks (DDNs) based on side-functionalized PnBA chains. One of these networks is highly crosslinked by metal-ligand junctions characterized by a fast association/dissociation dynamics, while the other network is sparsely crosslinked with slow dynamic covalent networks (DCNs). We first show that modulating the dynamics of the metallosupramolecular networks, by playing with the temperature, the density of reversible junctions, or the stress applied, has direct consequences on the local equilibration of the DCN. The latter takes place by a constraint release Rouse process at the rhythm of the association/dissociation of the metal-ligand junctions. Then, based on creep-recovery experiments, we investigate the ability of the DDNs to recover their initial shape after a creep test and show again the important role played by the metallosupramolecular network. In particular, the sample recovery strongly depends on the network connectivity, which is enhanced if a denser metallosupramolecular network is used as it reduces the possible creep of the double dynamic network and increases its elastic memory. The sample recovery also depends on the association-dissociation dynamics of the metallosupramolecular bonds as it fixes how fast the stretched DCN can come back to its equilibrium conformation and can recover its initial shape after a large deformation has been applied. Adjusting the dynamics of the weak network is thus a key process to govern the viscoelastic response of the slow network.

Details

Database :
OAIster
Journal :
Journal of Rheology, Vol. 66, no.6, p. 1349-1364 (2022)
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1372931945
Document Type :
Electronic Resource