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Generalized Effective Medium Theory for Particulate Nanocomposite Materials

The thermal conductivity of particulate nanocomposites is strongly dependent on the size, shape, orientation and dispersion uniformity of the inclusions. To correctly estimate the effective thermal conductivity of the nanocomposite, all these factors should be included in the prediction model. In th...

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Detalles Bibliográficos
Autores principales: Siddiqui, Muhammad Usama, Arif, Abul Fazal M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512516/
https://www.ncbi.nlm.nih.gov/pubmed/28773817
http://dx.doi.org/10.3390/ma9080694
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author Siddiqui, Muhammad Usama
Arif, Abul Fazal M.
author_facet Siddiqui, Muhammad Usama
Arif, Abul Fazal M.
author_sort Siddiqui, Muhammad Usama
collection PubMed
description The thermal conductivity of particulate nanocomposites is strongly dependent on the size, shape, orientation and dispersion uniformity of the inclusions. To correctly estimate the effective thermal conductivity of the nanocomposite, all these factors should be included in the prediction model. In this paper, the formulation of a generalized effective medium theory for the determination of the effective thermal conductivity of particulate nanocomposites with multiple inclusions is presented. The formulated methodology takes into account all the factors mentioned above and can be used to model nanocomposites with multiple inclusions that are randomly oriented or aligned in a particular direction. The effect of inclusion dispersion non-uniformity is modeled using a two-scale approach. The applications of the formulated effective medium theory are demonstrated using previously published experimental and numerical results for several particulate nanocomposites.
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spelling pubmed-55125162017-07-28 Generalized Effective Medium Theory for Particulate Nanocomposite Materials Siddiqui, Muhammad Usama Arif, Abul Fazal M. Materials (Basel) Article The thermal conductivity of particulate nanocomposites is strongly dependent on the size, shape, orientation and dispersion uniformity of the inclusions. To correctly estimate the effective thermal conductivity of the nanocomposite, all these factors should be included in the prediction model. In this paper, the formulation of a generalized effective medium theory for the determination of the effective thermal conductivity of particulate nanocomposites with multiple inclusions is presented. The formulated methodology takes into account all the factors mentioned above and can be used to model nanocomposites with multiple inclusions that are randomly oriented or aligned in a particular direction. The effect of inclusion dispersion non-uniformity is modeled using a two-scale approach. The applications of the formulated effective medium theory are demonstrated using previously published experimental and numerical results for several particulate nanocomposites. MDPI 2016-08-13 /pmc/articles/PMC5512516/ /pubmed/28773817 http://dx.doi.org/10.3390/ma9080694 Text en © 2016 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Siddiqui, Muhammad Usama
Arif, Abul Fazal M.
Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title_full Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title_fullStr Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title_full_unstemmed Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title_short Generalized Effective Medium Theory for Particulate Nanocomposite Materials
title_sort generalized effective medium theory for particulate nanocomposite materials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512516/
https://www.ncbi.nlm.nih.gov/pubmed/28773817
http://dx.doi.org/10.3390/ma9080694
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