Modeling electrical conductivities of nanocomposites with aligned carbon nanotubes

Bao, Wurigumula; Meguid, S. A.; Zhu, Zheng H.; Meguid, M J

doi:10.1088/0957-4484/22/48/485704

Cited by 137 publications

(109 citation statements)

References 60 publications

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“…CNTs with large persistence length, L p ≥ L. It was experimentally demonstrated that the electrical conductivity parallel to the alignment direction displays a non-monotonic dependence on the degree of CNT alignment, with the highest conductivity observed for slightly aligned nanotubes rather than for isotropic case [153]. Similar results were also obtained in the Monte Carlo simulations of the effect of the alignment of CNTs on percolation and electrical conductivity [154][155][156][157]. These models also predicted that the peak value of the conductivity should occur for partially aligned rather than perfectly aligned CNTs.…”

Section: Electrical Conductivitysupporting

confidence: 68%

“…The electrical conductivity of composites doped with CNTs can be limited by tube-tube junction conductivity or own conductivity of CNTs [156,157]. The experiments evidenced that the CNT-CNT junction conductivity is much smaller than the conductivity of the CNT themselves.…”

Section: Electrical Conductivitymentioning

confidence: 99%

“…In these systems the electrical transport can be classified as a CNT-CNT junction limited transport. The anomalous behaviour of electrical conductivity can reflect impact of CNTs spatial distribution and alignment on the density of low-conductive contacts and the total length of the conduction paths [157].…”

Section: Electrical Conductivitymentioning

confidence: 99%

See 2 more Smart Citations

Carbon Nanotubes in Liquid Crystals: Fundamental Properties and Applications

Lisetski

Soskin

Lebovka

2015

Springer Proceedings in Physics

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The structure and properties of liquid crystalline suspensions filled by carbon nanotubes (CNTs) are critically reviewed. Special attention is paid to interactions between CNTs and molecules of the liquid crystals (LC), which lead to formation of ordered supramolecular structures. These structures, in turn, determine unique physical properties of LC + CNT suspensions, including electrical conductivity, dielectric permittivity, phase transitions, optical transmission, memory effects that can be used in electrooptic and optoelectronic devices, etc. Great variety of LC phases are considered as a host media, such as nematics, cholesterics, smectics of different types (including ferroelectrics), lyotropic, chromonic, ionic and hydrogen-bonded liquid crystals. Alongside multi-and single-walled carbon nanotubes, the suspensions can also contain the platelets of organoclays used for facilitation of CNT dispersing. Recent practical applications of LC + CNT suspensions and nanomaterials based thereon are also outlined.

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Section: Electrical Conductivitysupporting

confidence: 68%

Section: Electrical Conductivitymentioning

confidence: 99%

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Carbon Nanotubes in Liquid Crystals: Fundamental Properties and Applications

Lisetski

Soskin

Lebovka

2015

Springer Proceedings in Physics

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“…Specifically, it has been reported that neither a fully isotropic distribution nor a complete filler alignment are optimal to achieve the highest conductivity [30,31]. However, Bao et al [32] demonstrated that for very small volume fractions of CNTs, higher conductivities are achieved when the filler alignment is closer to isotropic. Specifically the percolation threshold in bulk systems will be higher for aligned fillers than for randomly oriented ones, primarily due to less effective filler interconnection for uniformly aligned fillers.…”

Section: Electrical Percolation In Hybrid Systemsmentioning

confidence: 99%

Conductive polymer foams with carbon nanofillers – Modeling percolation behavior

Maxian¹,

Pedrazzoli²,

Manas‐Zloczower³

2017

Express Polym. Lett.

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Abstract.A new numerical model considering nanofiller random distribution in a porous polymeric matrix was developed to predict electrical percolation behavior in systems incorporating 1D-carbon nanotubes (CNTs) and/or 2D-graphene nanoplatelets (GNPs). The numerical model applies to porous systems with closed-cell morphology. The percolation threshold was found to decrease with increasing porosity due to filler repositioning as a result of foaming. CNTs were more efficient in forming a percolative network than GNPs. High-aspect ratio (AR) and randomly oriented fillers were more prone to form a network. Reduced percolation values were determined for misaligned fillers as they connect better in a network compared to aligned ones. Hybrid CNT-GNP fillers show synergistic effects in forming electrically conductive networks by comparison with single fillers.

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“…Li et al [25] conducted Monte Carlo simulations and demonstrated that wavy nanotube networks had lower conductivity than that which included only straight nanotubes. In addition, Du et al [26] and Bao et al [27] investigated alignment effects on the electrical properties of 2D and 3D model, respectively.…”

Section: Introductionmentioning

confidence: 99%

A 2D percolation-based model for characterizing the piezoresistivity of carbon nanotube-based films

Lee

Loh

2015

J Mater Sci

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Carbon nanotubes (CNTs) have attracted considerable attention due to their unique electrical, mechanical, and electromechanical properties. In particular, thin films formed by embedding CNTs in polymer matrices have been shown to exhibit strain-sensitive electromechanical properties, which can serve as an alternative to traditional strain sensors. Although numerous experimental studies have characterized their electrical properties and piezoresistivity, it remains unclear as to what nano-scale mechanisms dominate to govern nanocomposite electromechanical properties. Therefore, the objective of this study is to create a two-dimensional (2D) percolationbased numerical model to understand the electrical and coupled electromechanical behavior of CNT-based thin films. First, a percolation-based model with randomly dispersed straight nanotubes was generated. Second, the percolation and unstrained electrical properties of the model were evaluated as a function of CNT density and length. Next, uniaxial tensile-compressive strains were applied to the model for characterizing their electromechanical response and piezoresistivity. In addition, the effects of different intrinsic strain sensitivities of individual nanotubes were also considered. The results showed that bulk film strain sensitivity was strongly related to CNT density, length, and its intrinsic strain sensitivity. In particular, it was found that strain sensitivity decreased with increasing CNT density. While these strain sensitivity trends were consistent for different intrinsic CNT gage factors, the results were more complicated near the percolation threshold. These results were also compared to other experimental research so as to understand how different nano-scale parameters propagate and affect bulk film response.

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Modeling electrical conductivities of nanocomposites with aligned carbon nanotubes

Cited by 137 publications

References 60 publications

Carbon Nanotubes in Liquid Crystals: Fundamental Properties and Applications

Carbon Nanotubes in Liquid Crystals: Fundamental Properties and Applications

Conductive polymer foams with carbon nanofillers – Modeling percolation behavior

A 2D percolation-based model for characterizing the piezoresistivity of carbon nanotube-based films

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