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

被引：45
作者：
Haghgoo, M. [1 ]
Ansari, R. [1 ]
Hassanzadeh-Aghdam, M. K. [2 ]
机构：
[1] Univ Guilan, Fac Mech Engn, Rasht, Iran
[2] Univ Guilan, Fac Technol & Engn, Dept Engn Sci, Rudsar Vajargah, Iran
来源：
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING | 2022年 / 152卷
关键词：
A; Multifunctional composites; B; Nanocomposites; C; Electrical properties; D; Analytical modeling; POLYMER/CARBON NANOTUBE; GRAPHENE NANOPLATELETS; MECHANICAL-PROPERTIES; COMPOSITES; BEHAVIOR; DEFORMATION; PERCOLATION; MODEL;
D O I：
10.1016/j.compositesa.2021.106716
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Piezoresistivity and electrical conductivity of carbon nanotube (CNT)/graphene nanoplatelet (GNP)-filled polymer nanocomposites are investigated using a 3D Monte Carlo analytical-geometrical model. GNPs and CNTs are considered as randomly distributed solid thin rectangular cube and cylinder, respectively. After establishment of a random CNT/GNP network, electrical conductivity and relative resistance change with strain is calculated. Model considers effect of CNT and GNP deformation on filler separation distance as the dominant factor for percolation tunneling. Comparing model results with experimental data of hybrid nanocomposites showed a good agreement for electrical conductivity and piezoresitivity. Analytical model is developed on the basis of geometrical tunneling percolation theory to consider the effect of several parameters like height of barrier potential, GNP side length, CNT orientation and dimensions on electric behavior of nanocomposites. Results revealed that CNT dispersion state and GNP dimensions have significant effects on the percolation threshold and resistivity change ratio of nanocomposites with strain.
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页数：13
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