Monte Carlo analytical-geometrical simulation of piezoresistivity and electrical conductivity of polymeric nanocomposites filled with hybrid carbon nanotubes/graphene nanoplatelets

Haghgoo, Mojtaba; Ansari, R.; Hassanzadeh-Aghdam, Mohammad Kazem

doi:10.1016/j.compositesa.2021.106716

Cited by 31 publications

(20 citation statements)

References 57 publications

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“…( 7) for percolation start can guess the average values of interphase deepness and tunneling length. The (t i , λ) are calculated as (30,12), (7,10), (5,8) and (6,5) nm for PI, PS, PET and SAN nanocomposites, correspondingly. These levels demonstrate the formation of large interphase and big tunnels in the examples.…”

Section: Resultsmentioning

confidence: 99%

Simulating of effective conductivity for graphene–polymer nanocomposites

Vatani

Zare

Gharib

et al. 2023

Sci Rep

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The efficient conductivity of graphene-polymer systems is expressed supposing graphene, tunneling and interphase components. The volume shares and inherent resistances of the mentioned components are used to define the efficient conductivity. Besides, the percolation start and the share of graphene and interphase pieces in the nets are formulated by simple equations. Also, the resistances of tunneling and interphase parts are correlated to graphene conductivity and their specifications. Suitable arrangements among experimented data and model’s estimates as well as the proper trends between efficient conductivity and model’s parameters validate the correctness of the novel model. The calculations disclose that the efficient conductivity improves by low percolation level, dense interphase, short tunnel, large tunneling pieces and poor polymer tunnel resistivity. Furthermore, only the tunneling resistance can govern the electron transportation between nanosheets and efficient conductivity, while the big amounts of graphene and interphase conductivity cannot play a role in the efficient conductivity.

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Section: Resultsmentioning

confidence: 99%

Simulating of effective conductivity for graphene–polymer nanocomposites

Vatani

Zare

Gharib

et al. 2023

Sci Rep

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“…Given that the filler orientation significantly influences the electrical properties of conductive polymer composites, the degree of filler orientation corresponding to the highest electrical conductivity receives great attention, which helps to better regulate the electrical conductivity of micro/nanocomposites by adjusting the conductive filler orientation. Some studies reported that random filler orientation led to the highest electrical conductivity, , while others indicated that the highest electrical conductivity occurred at a higher filler orientation. − In addition, conductive filler length also significantly affects the electrical properties of conductive polymer composites. − Recent studies demonstrated that the filler length distribution had a non-negligible influence on electrical properties. , Since the SCF length distributes over a wide range in actual SCFCPCs due to the molding process, − it is necessary to consider the actual SCF length distribution while analyzing the influence of SCF orientation on the electrical properties of SCFCPCs.…”

Section: Introductionmentioning

confidence: 99%

Simulation Studies Underlying the Influence of Filler Orientation on the Electrical Properties of Short Carbon Fiber Conductive Polymer Composites: Implications for Electrical Conductivity Regulation of Micro/Nanocomposites

Yao

Liu

Jiang

et al. 2023

ACS Appl. Nano Mater.

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The electrical properties of conductive polymer composites are critical in applications, and the electrical conductivity regulation through micro/nanofiller orientation is attracting broad attention. For short carbon fiber (SCF) conductive polymer composites (SCFCPCs), the electrical properties and SCF conductive network topology of SCFCPCs with different SCF orientations are analyzed with a numerical model. The results demonstrate that an increase in the degree of SCF orientation from 0 (SCFs perpendicular to conductivity direction) to 1 (SCFs parallel to conductivity direction) first leads to a corresponding increase and then a decrease in the electrical conductivity of SCFCPCs. The highest electrical conductivity is achieved while the degree of SCF orientation is increased to approximately 0.6, which is a higher SCF orientation state compared to random orientation. Moreover, it is identified that more SCFs in conductive networks do not necessarily guarantee a higher electrical conductivity. The electrical conductivity of the SCF conductive networks also depends on the degree of SCF orientation. Evidently, the less-oriented SCFs tend to build in-layer conductive networks, while the highly oriented SCFs tend to build interlayer ones, which apply a greater contribution to the electrical conductivity. Overall, the results of this study reveal why the highest electrical conductivity occurs at a higher SCF orientation rather than a random SCF orientation. The clarified influence and mechanism provide indications for the electrical conductivity regulation of micro/nanocomposites by adjusting the conductive filler orientation.

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“…[26] They have also proposed a way to simulate piezoresistive behavior of CNT/graphene composites using 3D Monte Carlo analytical-geometrical model and the results showed that dimension of the particles have significant effect on the piezoresistive behavior. [27] Studies have also shown that resistance change of a CNT composite reflects stress relaxation behavior, implying that CNT composites can be used for real-time measurement of residual stress. [28][29][30][31][32][33] The mechanism of resistance change during stress relaxation is unclear.…”

Section: Introductionmentioning

confidence: 99%