Premium
Modeling Thermal Conductivity of Highly Filled Polymer Composites
Author(s) -
Drozdov Aleksey D.,
deClaville Christiansen Jesper
Publication year - 2019
Publication title -
polymer engineering and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.503
H-Index - 111
eISSN - 1548-2634
pISSN - 0032-3888
DOI - 10.1002/pen.25220
Subject(s) - materials science , composite material , thermal conductivity , filler (materials) , polymer , conductivity , thermal , embedding , thermodynamics , computer science , chemistry , physics , artificial intelligence
The Kanari model is traditionally treated as an empirical relation to fit observations on the effective thermal conductivity of composites. By applying the integration embedding method, we demonstrate that this model provides an extension of the Halpin–Tsai and Fricke models to highly filled composites, and the only adjustable parameter in the governing equation is expressed in terms of the aspect ratio of filler particles and their aggregates. These assertions are confirmed by the analysis of observations on several polymer composites. POLYM. ENG. SCI., 59:2174–2179, 2019. © 2019 Society of Plastics Engineers