Accurate predictions of thermoset resin glass transition temperatures from all-atom molecular dynamics simulation. Issue 39 (23rd September 2022)

• Record Type: Journal Article
• Authors: Odegard, Gregory M.; Patil, Sagar U.; Gaikwad, Prashik S.; Deshpande, Prathamesh; Krieg, Aaron S.; Shah, Sagar P.; Reyes, Aspen; Dickens, Tarik; King, Julia A.; Maiaru, Marianna
• Is Part Of: Soft matter. Volume 18:Issue 39(2022)
• Page Start: 7550
• Page End: 7558
• Publication Date: 2022-09-23
• Subjects: Soft condensed matter -- Periodicals; 530.413
• DOI: 10.1039/d2sm00851c
• Languages: English
• ISSNs: 1744-683X

Abstract

Abstract : Molecular dynamics simulation of a thermoset network and the glass transition by heating and cooling. Abstract : To enable the design and development of the next generation of high-performance composite materials, there is a need to establish improved computational simulation protocols for accurate and efficient prediction of physical, mechanical, and thermal properties of thermoset resins. This is especially true for the prediction of glass transition temperature ( T g ), as there are many discrepancies in the literature regarding simulation protocols and the use of cooling rate correction factors for predicting values using molecular dynamics (MD) simulation. The objectives of this study are to demonstrate accurate prediction the T g with MD without the use of cooling rate correction factors and to establish the influence of simulated conformational state and heating/cooling cycles on physical, mechanical, and thermal properties predicted with MD. The experimentally-validated MD results indicate that accurate predictions of T g, elastic modulus, strength, and coefficient of thermal expansion are highly reliant upon establishing MD models with mass densities that match experiment within 2%. The results also indicate the cooling rate correction factors, model building within different conformational states, and the choice of heating/cooling simulation runs do not provide statistically significant differences in the accurate prediction of T g values, given the typical scatter observed in MD predictions of amorphous polymer properties.