Modeling the electromechanical and strain response of carbon nanotube-based nanocomposites

Lee, Bo Mi; Loh, Kenneth J.; Burton, Andrew; Loyola, Bryan R.

doi:10.1117/12.2044566

Cited by 5 publications

(6 citation statements)

References 32 publications

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“…We implemented periodic boundary condition (PBC) on all sides of the RVE when part of a filler is outside of the RVE. PBC for CNT in 3D is relatively simple and similar to the procedure in 2D [29]. PBC in 3D for elliptical GNP filler requires additional steps compared to linear or circular particles.…”

Section: Three-dimensional Modeling Of the Hybrid Compositementioning

confidence: 99%

“…The percolation of the composite is evaluated using the percolation probability, which is the probability that there is at least one conductive path in the RVE spanning the two electrodes. It is defined as P = np N where n p is the number of microstructures with the existence of at least one conductive path in a total of N microstructures [29]. The percolation threshold or onset (V 50 ) corresponds to the total volume fraction of fillers (V T = V CNT + V GNP ) when P = 50% [29].…”

Section: Electrical Percolation and Conductivity Modeling For Hybrid ...mentioning

confidence: 99%

“…Much work has been done in the literature to extensively study the electrical and piezoresistive performance of CNT and GNP monofiller composites using mostly percolationbased Monte Carlo models [28][29][30][31][32][33][34][35][36]. In the case of hybrid composites made of CNT and GNP fillers, only a few numerical works studied the electrical performance of hybrid composites [37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

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Synergy effect in hybrid nanocomposites based on carbon nanotubes and graphene nanoplatelets

2020

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Hybrid nanocomposites reinforced with a mixture of graphene nanoplatelets (GNPs) and carbon nanotubes (CNTs) have shown improvement in filler dispersion while providing a cost-effective alternative to CNT monofiller composites. Depending on their composition, hybrid composites can exhibit electrical performance superior to either of the constituent monofiller composites due to synergistic effects. In this work, we develop a three-dimensional tunneling-based continuum percolation model for hybrid nanocomposites filled with hardcore particles of elliptical GNPs and cylindrical CNTs. Using Monte Carlo simulations, parametric studies of the filler content, composition and morphology are carried out to analyze the conditions required for synergy in percolation onset and electrical conductivity. Our results suggest that for hybrid systems with well-dispersed fillers, the electrical performance is linked to the number of tunneling junctions per filler inside the percolated network of the nanocomposites. More importantly, hybrid composites filled with specific morphology of GNP and CNT, exhibit synergy in their electrical performance when the monofiller composites of each of those exact fillers have similar percolation onset values. The simulations results are in agreement with relevant experimental data on hybrid nanocomposites.

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Section: Three-dimensional Modeling Of the Hybrid Compositementioning

confidence: 99%

Section: Electrical Percolation and Conductivity Modeling For Hybrid ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Synergy effect in hybrid nanocomposites based on carbon nanotubes and graphene nanoplatelets

2020

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“…Efficiency of a similar approach for conductance calculations in CNTs networks was demonstrated earlier in several papers. 19,21,28,31 All distances between the MWCNT elements equal or less than two MWCNT radiuses were considered as contacts. To take into account the tunneling effect, the law of the exponential decrease of contact conductance was implemented with characteristic distance of 0.5 nm.…”

Section: Methodsmentioning

confidence: 99%

“…For MWCNT-filled composites, it is also important to account for orientation and overall alignment of MWCNTs, which can significantly affect electrical conductivity of material. [18][19][20] Several works have been published to this moment, making attempts at prediction of electrophysical properties of MWCNT-filled composites, 19,21,22 but there is still a need for a working model capable of describing the filler behavior during deformation for relatively high deformation degrees (with strains of 5% and higher), especially taking into account possible complex (not rod-like) shape of MWCNTs.…”

Section: Introductionmentioning

confidence: 99%

Modeling the effect of uniaxial deformation on electrical conductivity for composite materials with extreme filler segregation

Lebedev

Abaimov

Ozerin

2019

Journal of Composite Materials

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In this work, the correlation between electrical conductivity and uniaxial deformation of a material with highly segregated distribution of conductive filler is studied. Multi-walled carbon nanotubes are used as a model filler. A numerical model that can be used to predict changes in conductive microstructure made of multi-walled carbon nanotubes in response to uniaxial deformation of material is proposed. The model takes into account the ability of nanotubes to assume various conformations and orientations during deformation. Numerical simulations are conducted for uniformly distributed multi-walled carbon nanotubes providing confinement of the filler in a two-dimensional film structure with high volume fraction of the filler. The embedded element method to conduct realistic and computationally efficient simulation of multi-walled carbon nanotube behavior during deformation of the composite material is implemented. Finally, the results of numerical simulations of changes in electrical conductivity of composite during deformation are compared with the experimental data to prove the correctness of assumptions used in the model.

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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 the electromechanical and strain response of carbon nanotube-based nanocomposites

Cited by 5 publications

References 32 publications

Synergy effect in hybrid nanocomposites based on carbon nanotubes and graphene nanoplatelets

Synergy effect in hybrid nanocomposites based on carbon nanotubes and graphene nanoplatelets

Modeling the effect of uniaxial deformation on electrical conductivity for composite materials with extreme filler segregation

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

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