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Technical Brief

Effect of Temperature on Electrical Resistivity of Carbon Nanotubes and Graphene Nanoplatelets Nanocomposites

[+] Author and Article Information
Amirhossein Biabangard Oskouyi

Department of Mechanical Engineering,
University of Alberta,
Edmonton, AB T6G 2G8, Canada
e-mail: biabanga@ualberta.ca

Uttandaraman Sundararaj

Department of Chemical and Petroleum Engineering,
University of Calgary,
Calgary, AB T2N 1N4, Canada
e-mail: ut@ucalgary.ca

Pierre Mertiny

Department of Mechanical Engineering,
University of Alberta,
Edmonton, AB T6G 2G8, Canada
e-mail: pmertiny@ualberta.ca

1Corresponding author.

Manuscript received June 30, 2014; final manuscript received February 27, 2015; published online April 2, 2015. Assoc. Editor: Debjyoti Banerjee.

J. Nanotechnol. Eng. Med 5(4), 044501 (Nov 01, 2014) (6 pages) Paper No: NANO-14-1044; doi: 10.1115/1.4030018 History: Received June 30, 2014; Revised February 27, 2015; Online April 02, 2015

The effect of the temperature on the electrical resistivity of polymer nanocomposites with carbon nanotube (CNT) and graphene nanoplatelets (GNP) fillers was investigated. A three-dimensional (3D) continuum Monte Carlo (MC) model was developed to first form percolation networks. A 3D resistor network was subsequently created to evaluate the nanocomposite electrical properties. The effect of temperature on the electrical resistivity of nanocomposites was thus investigated. Other aspects such as polymer tunneling and filler resistivities were considered as well. The presented comprehensive modeling approach is aimed at providing a better understanding of the electrical resistivity behavior of polymer nanocomposites in conjunction with experimental works.

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Figures

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Fig. 3

Schematic for the formation of a percolation network at the percolation threshold

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Fig. 2

Tunneling conductivity versus insulator thickness for λ = 1.5 eV

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Fig. 1

Schematic of periodic boundary conditions used for MC modeling of CNT nanocomposites (elements in dashed lines indicate CNT crossing the RVE boundary)

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Fig. 4

Schematic of the electron tunneling mechanism in CNT and GNP based conductive nanocomposites

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Fig. 5

Schematic of the conductivity mechanism in conjunction with a percolation network

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Fig. 6

Electrical conductivity of a CNT nanocomposite with σCNT = 0.5 × 10−6 Ωm, λ = 0.5 eV

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Fig. 7

Qualitative comparison of experimental data [1,34] with simulation results for a CNT nanocomposite with σCNT = 0.5 × 10−6 Ωm, λ = 0.5 eV, Vf = 1%

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Fig. 8

Effect of polymer electrical properties on the resistivity-temperature behavior for a CNT nanocomposite with Vf = 1%

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Fig. 9

Effect of CNT resistivity on the resistivity-temperature behavior of CNT nanocomposites with λ = 0.5 eV

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Fig. 10

Normalized resistivity as a function of the temperature, from simulations with 100 nm nanodisks and λ = 0.5 eV

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Fig. 11

Fitting of GNP nanocomposite resistivity data according to the VRH model proposed by Mott [15,35]

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Fig. 12

Fitting of CNT nanocomposite resistivity data according to the VRH model proposed by Mott [15,35] (λ = 0.5 eV, Vf = 0.65%)

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