Micromechanics simulation of electrical conductivity for carbon-nanotube-filled polymer system by adjusting Ouali model

Zare, Yasser; Rhee, Kyong Yop

doi:10.1140/epjp/s13360-021-01782-5

Cited by 10 publications

(4 citation statements)

References 50 publications

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“…Various equations were advanced for the conductivity of CNT-filled examples assuming the factors for CNT such as amount, waviness, conduction and aspect ratio 44 – 47 . Also, few studies have reported the significances of tunneling effect and interphase on the conductivity of CNT products 34 , 47 , 48 . However, the modeling works on the conductivity of graphene-based systems are really incomplete.…”

Section: Introductionmentioning

confidence: 99%

Predicting of tunneling resistivity between adjacent nanosheets in graphene–polymer systems

Zare,

Gharib,

Nam

et al. 2023

Sci Rep

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In this work, the tunneling resistivity between neighboring nanosheets in grapheme–polymer nanocomposites is expressed by a simple equation as a function of the characteristics of graphene and tunnels. This expression is obtained by connecting two advanced models for the conductivity of graphene-filled materials reflecting tunneling role and interphase area. The predictions of the applied models are linked to the tested data of several samples. The impressions of all factors on the tunneling resistivity are evaluated and interpreted using the suggested equation. The calculations of tunneling resistivity for the studied examples by the model and suggested equation demonstrate the same levels, which confirm the presented methodology. The results indicate that the tunneling resistivity decreases by super-conductive graphene, small tunneling width, numerous contacts among nanosheets and short tunneling length.

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Section: Introductionmentioning

confidence: 99%

Predicting of tunneling resistivity between adjacent nanosheets in graphene–polymer systems

Zare,

Gharib,

Nam

et al. 2023

Sci Rep

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“…The development of electronic technology has rapidly increased the need for materials with perfect mechanical and physical properties [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. These polymer-based nanocomposites have the capability of meeting these requirements [ 3 , 6 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. The use of different conductive fillers has been widely demonstrated to raise the conductivity and electrical properties.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems

et al. 2022

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There is not a simple model for predicting the electrical conductivity of carbon nanofiber (CNF)–polymer composites. In this manuscript, a model is proposed to predict the conductivity of CNF-filled composites. The developed model assumes the roles of CNF volume fraction, CNF dimensions, percolation onset, interphase thickness, CNF waviness, tunneling length among nanoparticles, and the fraction of the networked CNF. The outputs of the developed model correctly agree with the experimentally measured conductivity of several samples. Additionally, parametric analyses confirm the acceptable impacts of main factors on the conductivity of composites. A higher conductivity is achieved by smaller waviness and lower radius of CNFs, lower percolation onset, less tunnel distance, and higher levels of interphase depth and fraction of percolated CNFs in the nanocomposite. The maximum conductivity is obtained at 2.37 S/m by the highest volume fraction and length of CNFs.

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“…Carbon nanotubes (CNTs) endow significant conductivity and high mechanical properties to composites, especially polymer CNT nanocomposites (PCNT) [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. A CNT aspect ratio in a range of 500–1000 creates a conductive network at extremely low concentrations of CNTs [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ]. Indeed, the beginning of percolation essential for the nanocomposite conductivity.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, the beginning of percolation essential for the nanocomposite conductivity. Former studies correlated the percolation threshold with the aspect ratio of nanofiller [ 23 , 26 ], but the construction of CNTs in nanocomposites and the interphase area can govern the beginning of percolation [ 27 , 28 , 29 , 30 ]. Recent studies have tried to establish the mentioned parameters in the beginning of percolation of the nanofiller in a PCNT [ 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Effective Conductivity of Carbon-Nanotube-Filled Systems by Interfacial Conductivity to Optimize Breast Cancer Cell Sensors

2022

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Interfacial conductivity and “Lc”, i.e., the least carbon-nanotube (CNT) length required for the operative transfer of CNT conductivity to the insulated medium, were used to establish the most effective CNT concentration and portion of CNTs needed for a network structure in polymer CNT nanocomposites (PCNT). The mentioned parameters and tunneling effect define the effective conductivity of PCNT. The impact of the parameters on the beginning of percolation, the net concentration, and the effective conductivity of PCNT was investigated and the outputs were explained. Moreover, the calculations of the beginning of percolation and the conductivity demonstrate that the experimental results and the developed equations are in acceptable agreement. A small “Lc” and high interfacial conductivity affect the beginning of percolation, the fraction of networked CNTs, and the effective conductivity. Additionally, a low tunneling resistivity, a wide contact diameter, and small tunnels produce a highly effective conductivity. The developed model can be used to optimize breast cancer cell sensors.

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Micromechanics simulation of electrical conductivity for carbon-nanotube-filled polymer system by adjusting Ouali model

Cited by 10 publications

References 50 publications

Predicting of tunneling resistivity between adjacent nanosheets in graphene–polymer systems

Predicting of tunneling resistivity between adjacent nanosheets in graphene–polymer systems

Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems

Effective Conductivity of Carbon-Nanotube-Filled Systems by Interfacial Conductivity to Optimize Breast Cancer Cell Sensors

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