Journal article
Atomistic simulation of volumetric properties of epoxy networks: effect of monomer length
Soft matter, v 17(43), pp 9957-9966
10 Nov 2021
PMID: 34698327
Abstract
Properties of epoxy thermosets can be varied broadly to suit design requirements by altering the chemistry of the component agents. Atomistically-detailed molecular dynamics simulations are well-suited for molecular insight into the structure-property relationship for a rational tailoring of the chemistry. Since the macroscopic properties of interest for applications emerge hierarchically from molecular-scale chemical interactions, seamless integration of experiment, computation, and theory is of great interest. Recently, a Specific Volume-Cooling Rate analysis protocol was successfully developed to quantitatively compare the volumetric properties of an epoxy network model with experimental results in the literature, in spite of the nine orders of magnitude mismatch in the accessible time-scales. Here, we extend the application of the method for two epoxy networks in the same class of chemistry but whose monomers have a higher number of repeating units compared to the previous one for validating the generality of our approach. We observed that atomistic simulations are able to predict the experimental temperature trend of the specific volume within 0.4% for both these networks. Using the William-Landel-Ferry equation to account for rate differences, we also see good agreement between the computational and experimental values of the glass transition temperature.
Metrics
Details
- Title
- Atomistic simulation of volumetric properties of epoxy networks: effect of monomer length
- Creators
- Ketan S. Khare - Drexel UniversityCameron F. Abrams - Drexel University
- Publication Details
- Soft matter, v 17(43), pp 9957-9966
- Publisher
- Royal Soc Chemistry
- Number of pages
- 10
- Grant note
- ACI-1548562 / National Science Foundation; National Science Foundation (NSF) W911NF-14-2-0227 / United States Army Research Laboratory
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000711050900001
- Scopus ID
- 2-s2.0-85119362979
- Other Identifier
- 991019169104704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Chemistry, Physical
- Materials Science, Multidisciplinary
- Physics, Multidisciplinary
- Polymer Science