Effects of the filler size on the electrical percolation threshold of carbon black–carbon nanotube–polymer composites

Huang, Ying; Wang, Wendong; Zhang, Xiao; Guo, Xiaohui; Zhang, Yangyang; Liu, Ping; Ma, Yuanming; Zhang, Yugang

doi:10.1002/app.46517

Cited by 23 publications

(14 citation statements)

References 37 publications

(45 reference statements)

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“…While enhanced electrical conductivities are attained using secondary filler systems based on the excluded volume theory 11,12,15,16,18,19 , the decreased electrical conductivities are also observed because of the prevention of the interconnection between CNTs despite their similarity in structure and materials 20–22 . Although there have been successful trials with theoretical models in second-filler composite systems 15,23–29 , these two opposite tendencies ((1) increased conductivity due to the reduction in free volume of the polymer matrix and (2) decreased conductivity due to the disruption of CNT networks) are not well understood. In addition, it remains unanswered how the dimension of second fillers affect the electrical conductivity of the second-filler composite systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling the electrical resistivity of polymer composites with segregated structures

et al. 2019

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Hybrid carbon nanotube composites with two different types of fillers have attracted considerable attention for various advantages. The incorporation of micro-scale secondary fillers creates an excluded volume that leads to the increase in the electrical conductivity. By contrast, nano-scale secondary fillers shows a conflicting behavior of the decreased electrical conductivity with micro-scale secondary fillers. Although several attempts have been made in theoretical modeling of secondary-filler composites, the knowledge about how the electrical conductivity depends on the dimension of secondary fillers was not fully understood. This work aims at comprehensive understanding of the size effect of secondary particulate fillers on the electrical conductivity, via the combination of Voronoi geometry induced from Swiss cheese models and the underlying percolation theory. This indicates a transition in the impact of the excluded volume, i.e., the adjustment of the electrical conductivity was measured in cooperation with loading of second fillers with different sizes.

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Section: Introductionmentioning

confidence: 99%

Modeling the electrical resistivity of polymer composites with segregated structures

et al. 2019

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“…Both experiments and simulations show different CB sizes leading to an important influence on percolation properties of composites, not only electrical percolation thresholds but also the rate of conductive curve . Thus, a suitable model size for simulation is researched by experiments first and CB (SPC Chemical Company, Stockholm, Sweden) is used in experiments.…”

Section: Resultsmentioning

confidence: 99%

Electrical percolation of silicone rubber filled by carbon black and carbon nanotubes researched by the Monte Carlo simulation

Liu

et al. 2019

J of Applied Polymer Sci

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Electrical percolation of carbon black (CB) and carbon nanotubes (CNTs) filled into silicone rubber (SR) is analyzed by the three-dimensional (3D) Monte Carlo simulation. First, the 3D models and simulation parameters of CB and CNTs are researched to narrow the deviation between simulation and experimental results of CB/SR and CNTs/SR. The degree of agglomeration is the most important parameter in simulation for CB. The 3D model of CNTs is the most important factor in simulation for CNTs. Then, the 3D Monte Carlo simulation for CB/CNTs/SR is developed based on the optimized 3D models and parameters of CB and CNTs. The results yielded by the simulation with optimized parameters are similar to the experiments and synergistic conductive effect of two hybrid fillers in nanocomposites exists. This work has demonstrated that the quantification of the electrical percolation of two hybrid fillers in nanocomposites by Monte Carlo simulation is feasible.

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“…Therefore, large lateral size of GNP is favourable for electrical conductivity. Theoretical studies by Huang et al and Martin et al also found that in a polymer matrix containing carbon nanotubes (CNT), the electrical percolation threshold decreased with higher CNT aspect ratios [30,37].…”

Section: Electrical Conductivitymentioning

confidence: 99%

Exfoliation of graphite and expanded graphite by melt compounding to prepare reinforced, thermally and electrically conducting polyamide composites

Osazuwa

Modler

et al. 2019

Composites Science and Technology

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High performance composites based on a thermoplastic polyamide matrix containing well dispersed graphene nanoplatelets are prepared, by delaminating expanded graphite (EG) into its constituent graphene nanoplatelet (GNP) layers, by melt compounding. Results from scanning electron microscopy, transmission electron microscopy, and 3D tomography showed good dispersion of the GNP, while contact angle measurements reveal that the polyamide and graphene-based constituents have excellent interfacial interactions. Compared to flake graphite, exfoliation of EG into graphene nanoplatelets substantially improved the electrical, thermal and mechanical properties at low filler volume fractions: the electrical percolation threshold was attained at 1.9 vol%, the thermal conductivity increased by 1300% at 8 vol%, and the flexural modulus by 270% at 15 vol%. Substantial improvements in the impact properties of the composites were imparted by adding a maleated elastomeric impact modifier, which was welldispersed within the PA matrix, resulting in excellent toughening performance. This research achieves composites with superior properties, using an industrially relevant, easy to implement melt compounding method.

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Effects of the filler size on the electrical percolation threshold of carbon black–carbon nanotube–polymer composites

Cited by 23 publications

References 37 publications

Modeling the electrical resistivity of polymer composites with segregated structures

Modeling the electrical resistivity of polymer composites with segregated structures

Electrical percolation of silicone rubber filled by carbon black and carbon nanotubes researched by the Monte Carlo simulation

Exfoliation of graphite and expanded graphite by melt compounding to prepare reinforced, thermally and electrically conducting polyamide composites

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