Chain length effect on thermal transport in amorphous polymers and a structure–thermal conductivity relation. Issue 28 (2nd July 2019)

• Record Type: Journal Article
• Authors: Wei, Xingfei; Luo, Tengfei
• Is Part Of: Physical chemistry chemical physics. Volume 21:Issue 28(2019)
• Page Start: 15523
• Page End: 15530
• Publication Date: 2019-07-02
• Subjects: Chemistry, Physical and theoretical -- Periodicals; 541.3
• DOI: 10.1039/c9cp02397f
• Languages: English
• ISSNs: 1463-9076

Abstract

Abstract : The physics of thermal transport in polymers is important in many applications, such as in heat exchangers and electronics packaging. Abstract : The physics of thermal transport in polymers is important in many applications, such as in heat exchangers and electronics packaging. Even though thermal conductivity models for amorphous polymers have been reported since the 1970s, none of the published models included the chain conformation and chain stiffness effects. In this study, we use molecular dynamics (MD) simulations to study the chain length effect on thermal conductivity of amorphous polyethylene (PE), and the number of repeating C2 H4 units ranges from 5 to 200. The total thermal conductivity is decomposed into its contributions from energy convection ( k -convection), and heat transfer through nonbonding ( k -nonbonding) and bonding ( k -bonding) interactions. Each part of the contributions is fitted empirically by using a scaling relationship: k -convection (Einstein's diffusion coefficient model), k -nonbonding ∝ n (Choy's model) and k -bonding (from this study), where R g is the radius of gyration, n is the number density, and ξ is the persistence length. Summarizing these three components, we emphasize the chain conformation ( R g ) and chain stiffness ( ξ ) effects on thermal conductivity, and we propose a structure–property relation model for amorphous polymers. Our empirical model is compared with Hansen's experimental data [D. Hansen, R. Kantayya and C. Ho, Polym. Eng. Sci., 1966, 6, 260–262] and with our MD results. Our empirical model relies on realistic structural properties to enable accurate predictions. We believe that our model has captured some key structure–property relations in amorphous polymers.