Influence of preparation and architecture on the elastic modulus of polymer networks

TL;DR

This study uses molecular dynamics simulations to explore how preparation parameters and network architecture influence the elastic modulus of polymer networks, revealing the roles of pre-strain and entanglements in disordered systems.

Contribution

It demonstrates that the elastic modulus depends on network disorder, pre-strain, and entanglements, challenging classical rubber elasticity predictions and emphasizing the importance of excluded volume effects.

Findings

Regular networks' G is independent of initial monomer concentration.

Disordered networks' G increases with initial monomer concentration.

Pre-strain and entanglements significantly influence the elastic modulus.

Abstract

The elastic modulus $G$ of a polymer network depends notably on parameters such as the initial concentration of the monomers before the synthesis ($\rho_0$), the density of the cross-linker, or the topology of the network. Understanding how these factors influence the stiffness of the sample is hampered by the fact that in experiments it is difficult to tune them individually. Here we use coarse-grained molecular dynamics simulations to study how these quantities, as well as excluded volume interactions, affect the elastic modulus of the network. We find that for a regular diamond network, $G$ is independent of the initial monomer concentration, while for disordered networks (monodisperse or polydisperse) the modulus increases with $\rho_0$, at odds with the classical predictions for rubber elasticity. Analysis of the network structure reveals that, for the disordered networks, defects contribute only weakly to the observed increase, and that instead the $\rho_0$-dependence of $G$ can be rationalized by the presence of a pre-strain in the sample. This pre-strain can be quantified by the topological factor introduced in the affine network theory (ANT). Comparison of the disordered networks with their phantom counterparts reveals that weakly crosslinked systems show a stronger $\rho_0$-dependence of $G$ due to an increase in entanglements at higher $\rho_0$, and that the polydisperse networks contain more entanglements than the monodisperse ones with the same average strand length. Finally we discuss the quantitative application of ANT to the simulated real networks and their phantom counterparts and conclude that the presence of excluded volume effects must be comprehensively taken into account for reaching a qualitative understanding of the mechanical modulus of the disordered networks.