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A Conjugate Thermo-Electric Model for a Composite Medium

Electrical transmission signals have been used for decades to characterize the internal structure of composite materials. We theoretically analyze the transmission of an electrical signal through a composite material which consists of two phases with different chemical compositions. We assume that t...

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Detalles Bibliográficos
Autores principales: Chávez, Oscar, Godínez, Francisco A., Beltrán, Alberto, García, Armando, Zenit, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035276/
https://www.ncbi.nlm.nih.gov/pubmed/24867618
http://dx.doi.org/10.1371/journal.pone.0097895
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author Chávez, Oscar
Godínez, Francisco A.
Beltrán, Alberto
García, Armando
Zenit, Roberto
author_facet Chávez, Oscar
Godínez, Francisco A.
Beltrán, Alberto
García, Armando
Zenit, Roberto
author_sort Chávez, Oscar
collection PubMed
description Electrical transmission signals have been used for decades to characterize the internal structure of composite materials. We theoretically analyze the transmission of an electrical signal through a composite material which consists of two phases with different chemical compositions. We assume that the temperature of the biphasic system increases as a result of Joule heating and its electrical resistivity varies linearly with temperature; this last consideration leads to simultaneously study the electrical and thermal effects. We propose a nonlinear conjugate thermo-electric model, which is solved numerically to obtain the current density and temperature profiles for each phase. We study the effect of frequency, resistivities and thermal conductivities on the current density and temperature. We validate the prediction of the model with comparisons with experimental data obtained from rock characterization tests.
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spelling pubmed-40352762014-06-02 A Conjugate Thermo-Electric Model for a Composite Medium Chávez, Oscar Godínez, Francisco A. Beltrán, Alberto García, Armando Zenit, Roberto PLoS One Research Article Electrical transmission signals have been used for decades to characterize the internal structure of composite materials. We theoretically analyze the transmission of an electrical signal through a composite material which consists of two phases with different chemical compositions. We assume that the temperature of the biphasic system increases as a result of Joule heating and its electrical resistivity varies linearly with temperature; this last consideration leads to simultaneously study the electrical and thermal effects. We propose a nonlinear conjugate thermo-electric model, which is solved numerically to obtain the current density and temperature profiles for each phase. We study the effect of frequency, resistivities and thermal conductivities on the current density and temperature. We validate the prediction of the model with comparisons with experimental data obtained from rock characterization tests. Public Library of Science 2014-05-27 /pmc/articles/PMC4035276/ /pubmed/24867618 http://dx.doi.org/10.1371/journal.pone.0097895 Text en © 2014 Chávez, et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Chávez, Oscar
Godínez, Francisco A.
Beltrán, Alberto
García, Armando
Zenit, Roberto
A Conjugate Thermo-Electric Model for a Composite Medium
title A Conjugate Thermo-Electric Model for a Composite Medium
title_full A Conjugate Thermo-Electric Model for a Composite Medium
title_fullStr A Conjugate Thermo-Electric Model for a Composite Medium
title_full_unstemmed A Conjugate Thermo-Electric Model for a Composite Medium
title_short A Conjugate Thermo-Electric Model for a Composite Medium
title_sort conjugate thermo-electric model for a composite medium
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035276/
https://www.ncbi.nlm.nih.gov/pubmed/24867618
http://dx.doi.org/10.1371/journal.pone.0097895
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