Computational Materials Science2022,Vol.2079.DOI:10.1016/j.commatsci.2022.111264

The effect of network topology on material properties in vinyl-ester/styrene thermoset polymers using molecular dynamics simulations and time-temperature superposition

Huang, Ming Alvarez, Nicolas J. J. Palmese, Giuseppe R. R. Abrams, Cameron
Computational Materials Science2022,Vol.2079.DOI:10.1016/j.commatsci.2022.111264

The effect of network topology on material properties in vinyl-ester/styrene thermoset polymers using molecular dynamics simulations and time-temperature superposition

Huang, Ming 1Alvarez, Nicolas J. J. 1Palmese, Giuseppe R. R. 1Abrams, Cameron1
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作者信息

  • 1. Drexel Univ
  • 折叠

Abstract

The time-temperature superposition principle (TTSP) is a promising tool for filling the time-scale gap between molecular dynamics simulation and experiments in polymer systems. Here we propose a molecular dynamics approach to generate vinyl-ester (VE)/styrene (ST) thermoset modulus master curves that are comparable to experiments. Using this approach we generate modulus master curves for VE/ST systems which were generated with various relative reactivity ratios and therefore with vastly different network architectures. The master curves show that, while network architecture is irrelevant for glassy-state moduli measured either at low temperature or high frequencies, it can strongly determine rubbery-state behavior measured at high temperatures or low frequencies. The most important aspects of network architecture are the length of dangling chains and the molecular weight between crosslinks M-c, both of which depend on the relative reactivity of vinyl ester to styrene. We show that the modulus in the transition region between the glassy and rubbery states decreases with increasing M(c )at constant monomer composition. Our results provide an explanation for the observation that processing conditions that can affect relative reactivity, such as the processing temperature, can influence Mc and dictate material properties through specific topological features of the cured networks.

Key words

Network topology/Relative reactivity ratio/Time-temperature superposition/Molecular dynamics simulation/MECHANICAL-PROPERTIES/AMORPHOUS POLYMERS/CURE KINETICS/ESTER/VISCOELASTICITY/CHAINS/EPOXY

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量37
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