Modeling Thermal Conductivity of Highly Filled Polymer Composites

Aleksey D. Drozdov; Jesper deClaville Christiansen

doi:10.1002/pen.25220

Modeling Thermal Conductivity of Highly Filled Polymer Composites

Aleksey D. Drozdov, Jesper deClaville Christiansen

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	2174-2179
Number of pages	6
Journal	Polymer Engineering and Science
Volume	59
Issue number	10
DOIs	https://doi.org/10.1002/pen.25220
State	Published - 1 Oct 2019
Externally published	Yes

ASJC Scopus subject areas

General Chemistry
Polymers and Plastics
Materials Chemistry

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abstract = "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.",

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N2 - 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.

AB - 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.

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Modeling Thermal Conductivity of Highly Filled Polymer Composites

Abstract

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