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Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems

This study develops a model for electrical conductivity of polymer carbon nanofiber (CNF) nanocomposites (PCNFs), which includes two steps. In the first step, Kovacs model is developed to consider the CNF, interphase and tunneling regions as dissimilar zones in the system. In the second step, simple...

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Autores principales: Arjmandi, Sajad Khalil, Khademzadeh Yeganeh, Jafar, Zare, Yasser, Rhee, Kyong Yop
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807566/
https://www.ncbi.nlm.nih.gov/pubmed/36593230
http://dx.doi.org/10.1038/s41598-022-26139-5
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author Arjmandi, Sajad Khalil
Khademzadeh Yeganeh, Jafar
Zare, Yasser
Rhee, Kyong Yop
author_facet Arjmandi, Sajad Khalil
Khademzadeh Yeganeh, Jafar
Zare, Yasser
Rhee, Kyong Yop
author_sort Arjmandi, Sajad Khalil
collection PubMed
description This study develops a model for electrical conductivity of polymer carbon nanofiber (CNF) nanocomposites (PCNFs), which includes two steps. In the first step, Kovacs model is developed to consider the CNF, interphase and tunneling regions as dissimilar zones in the system. In the second step, simple equations are expressed to estimate the resistances of interphase and tunnels, the volume fraction of CNF and percolation onset. Although some earlier models were proposed to predict the electrical conductivity of PCNFs, developing of Kovacs model causes a better understanding of the effects of main factors on the nanocomposite conductivity. The developed model is supported by logical influences of all factors on the conductivity and by experimented conductivity of several samples. The calculations show good accordance to the experimented data and all factors rationally manage the conductivity of PCNFs. The highest conductivity of PCNF is gained as 0.019 S/m at the lowest ranges of polymer tunnel resistivity (ρ = 500 Ω m) and tunneling distance (d = 2 nm), whereas the highest levels of these factors (ρ > 3000 Ω m and d > 6 nm) cannot cause a conductive sample. Also, high CNF volume fraction, poor waviness, long and thin CNF, low “k”, thick interphase, high CNF conduction, high percentage of percolated CNFs, low percolation onset and high interphase conductivity cause an outstanding conductivity in PCNF.
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spelling pubmed-98075662023-01-04 Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems Arjmandi, Sajad Khalil Khademzadeh Yeganeh, Jafar Zare, Yasser Rhee, Kyong Yop Sci Rep Article This study develops a model for electrical conductivity of polymer carbon nanofiber (CNF) nanocomposites (PCNFs), which includes two steps. In the first step, Kovacs model is developed to consider the CNF, interphase and tunneling regions as dissimilar zones in the system. In the second step, simple equations are expressed to estimate the resistances of interphase and tunnels, the volume fraction of CNF and percolation onset. Although some earlier models were proposed to predict the electrical conductivity of PCNFs, developing of Kovacs model causes a better understanding of the effects of main factors on the nanocomposite conductivity. The developed model is supported by logical influences of all factors on the conductivity and by experimented conductivity of several samples. The calculations show good accordance to the experimented data and all factors rationally manage the conductivity of PCNFs. The highest conductivity of PCNF is gained as 0.019 S/m at the lowest ranges of polymer tunnel resistivity (ρ = 500 Ω m) and tunneling distance (d = 2 nm), whereas the highest levels of these factors (ρ > 3000 Ω m and d > 6 nm) cannot cause a conductive sample. Also, high CNF volume fraction, poor waviness, long and thin CNF, low “k”, thick interphase, high CNF conduction, high percentage of percolated CNFs, low percolation onset and high interphase conductivity cause an outstanding conductivity in PCNF. Nature Publishing Group UK 2023-01-02 /pmc/articles/PMC9807566/ /pubmed/36593230 http://dx.doi.org/10.1038/s41598-022-26139-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Arjmandi, Sajad Khalil
Khademzadeh Yeganeh, Jafar
Zare, Yasser
Rhee, Kyong Yop
Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title_full Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title_fullStr Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title_full_unstemmed Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title_short Development of Kovacs model for electrical conductivity of carbon nanofiber–polymer systems
title_sort development of kovacs model for electrical conductivity of carbon nanofiber–polymer systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807566/
https://www.ncbi.nlm.nih.gov/pubmed/36593230
http://dx.doi.org/10.1038/s41598-022-26139-5
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