A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions

Herein, the dimensions of the interphase and tunneling zones are utilized to develop a model for the conductivity of polymer composites with carbon nanofiber (CNF) named as PCNFs. The effective CNF concentration and percolation onset depend on the interphase depth to estimate the concentration of th...

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Main Authors: Yasser Zare, Muhammad Tajammal Munir, Kyong Yop Rhee, Soo-Jin Park
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Materials Research and Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424029533
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author Yasser Zare
Muhammad Tajammal Munir
Kyong Yop Rhee
Soo-Jin Park
author_facet Yasser Zare
Muhammad Tajammal Munir
Kyong Yop Rhee
Soo-Jin Park
author_sort Yasser Zare
collection DOAJ
description Herein, the dimensions of the interphase and tunneling zones are utilized to develop a model for the conductivity of polymer composites with carbon nanofiber (CNF) named as PCNFs. The effective CNF concentration and percolation onset depend on the interphase depth to estimate the concentration of the CNF/interphase network. Additionally, the length and diameter of tunnels are considered to account for tunneling resistance in the developed model. Accordingly, the current model assumes simple, measurable, and effective factors to estimate the conductivity of PCNF. Parametric analyses and experimental data of conductivity for real examples are used to validate the developed model. A very thin interphase (t = 5 nm) and high percolation onset (ϕp = 0.03), as well as large tunnels (λ > 10 nm) and small contact diameters (d < 8 nm), result in an insulative PCNF. However, the thickest interphase (t = 40 nm) and the lowest percolation onset (ϕp = 0.003) yield the highest conductivity as 0.06 S/m. Additionally, the minimum tunneling distance (λ = 1 nm) and maximum contact diameter (d = 40 nm) yield the maximum output of 0.045 S/m. Therefore, a deeper interphase, lower onset of percolation, and narrower and wider tunnels are essential to improve the nanocomposite conductivity.
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institution Kabale University
issn 2238-7854
language English
publishDate 2025-01-01
publisher Elsevier
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series Journal of Materials Research and Technology
spelling doaj-art-cd01f49e632f42178c762db238a9968a2025-01-19T06:25:38ZengElsevierJournal of Materials Research and Technology2238-78542025-01-013413911398A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensionsYasser Zare0Muhammad Tajammal Munir1Kyong Yop Rhee2Soo-Jin Park3Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, IranCollege of Engineering and Technology, American University of the Middle East, Egaila, 54200, KuwaitDepartment of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, Republic of Korea; Corresponding author.Department of Chemistry, Inha University, Incheon, 22212, Republic of Korea; Corresponding author.Herein, the dimensions of the interphase and tunneling zones are utilized to develop a model for the conductivity of polymer composites with carbon nanofiber (CNF) named as PCNFs. The effective CNF concentration and percolation onset depend on the interphase depth to estimate the concentration of the CNF/interphase network. Additionally, the length and diameter of tunnels are considered to account for tunneling resistance in the developed model. Accordingly, the current model assumes simple, measurable, and effective factors to estimate the conductivity of PCNF. Parametric analyses and experimental data of conductivity for real examples are used to validate the developed model. A very thin interphase (t = 5 nm) and high percolation onset (ϕp = 0.03), as well as large tunnels (λ > 10 nm) and small contact diameters (d < 8 nm), result in an insulative PCNF. However, the thickest interphase (t = 40 nm) and the lowest percolation onset (ϕp = 0.003) yield the highest conductivity as 0.06 S/m. Additionally, the minimum tunneling distance (λ = 1 nm) and maximum contact diameter (d = 40 nm) yield the maximum output of 0.045 S/m. Therefore, a deeper interphase, lower onset of percolation, and narrower and wider tunnels are essential to improve the nanocomposite conductivity.http://www.sciencedirect.com/science/article/pii/S2238785424029533NanocompositesCarbon nanofiber (CNF)Electrical conductivityInterphase depthTunneling size
spellingShingle Yasser Zare
Muhammad Tajammal Munir
Kyong Yop Rhee
Soo-Jin Park
A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
Journal of Materials Research and Technology
Nanocomposites
Carbon nanofiber (CNF)
Electrical conductivity
Interphase depth
Tunneling size
title A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
title_full A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
title_fullStr A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
title_full_unstemmed A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
title_short A predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber/interphase network and tunneling dimensions
title_sort predictive model for electrical conductivity of polymer carbon nanofiber composites considering nanofiber interphase network and tunneling dimensions
topic Nanocomposites
Carbon nanofiber (CNF)
Electrical conductivity
Interphase depth
Tunneling size
url http://www.sciencedirect.com/science/article/pii/S2238785424029533
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