2021
DOI: 10.3390/polym13050757
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Heterogeneity Effects in Highly Cross-Linked Polymer Networks

Abstract: 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 o… Show more

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Cited by 6 publications
(7 citation statements)
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References 47 publications
(43 reference statements)
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“…As demonstrated recently, the procedure by which the initial network is generated plays a prominent role with respect to a subsequent mechanical response. Here we have extended the process described before 15 to include entanglements.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…As demonstrated recently, the procedure by which the initial network is generated plays a prominent role with respect to a subsequent mechanical response. Here we have extended the process described before 15 to include entanglements.…”
Section: ■ Materials and Methodsmentioning
confidence: 99%
“…In this paper, we use an intermediate scale to describe the polymer network. The model we introduce is built upon a previous model, where only the topological constraints were taken into account. To capture the strain softening regime at small deformation, it is necessary to introduce entanglements as special topological constraints. The extension to add the modeling of entanglements explicitly is a major improvement with respect to the previous version of the model.…”
Section: Introductionmentioning
confidence: 99%
“…[29][30][31] However, modeling based on rubber elasticity theory and coarse-grained simulations of random networks both suggest that inhomogeneity in the crosslink distribution leads to stress concentration in a small number of chains, which in turn decreases the overall activation efficiency. [32][33][34] Self-assembled triblock copolymers are an attractive platform for investigating how network structure affects mechanochemical activation because they can be designed such that the elastically-effective strands in the midblock are the same length throughout the material, and the network connectivity can be tuned by changing the block fractions, which in turn change the self-assembled morphology. 35,36 A small number of reports have offered preliminary evidence that block copolymer self-assembly can indeed be used to facilitate mechanochemical activation in polymeric materials.…”
Section: Introductionmentioning
confidence: 99%
“…8,43 It is known that the properties of materials (e.g., mechanical) are determined by the topology of the network structure (i.e., regular or random). 44 Also, the physical− chemical properties of the polymer network (e.g., glass transition temperature and mechanical and viscoelastic proper-ties) depend strongly on the spacer length between crosslinkers. 45 Thus, a higher molecular weight of the polypropylene glycol/polyethylene glycol block will ensure a higher network mobility and reduce the glass transition temperature, thus resulting in lower inelastic properties (such as compressive and tensile yield strength).…”
Section: ■ Introductionmentioning
confidence: 99%
“…It is known that the properties of materials (e.g., mechanical) are determined by the topology of the network structure (i.e., regular or random) . Also, the physical–chemical properties of the polymer network (e.g., glass transition temperature and mechanical and viscoelastic properties) depend strongly on the spacer length between cross-linkers .…”
Section: Introductionmentioning
confidence: 99%