Calculation of electrical conductivity of self-sensing carbon nanotube composites

被引：23
|
作者：
Fang, Yuan [1 ]
Li, Long-Yuan [2 ]
Jang, Sung-Hwan [3 ]
机构：
[1] Shenzhen Univ, Guangdong Prov Key Lab Durabil Maine Civil Engn, Shenzhen 518060, Peoples R China
[2] Univ Plymouth, Sch Engn Comp & Math, Plymouth PL4 8AA, Devon, England
[3] Hanyang Univ ERICA, Sch Engn, Ansan 15588, Gyeonggi Do, South Korea
来源：
COMPOSITES PART B-ENGINEERING | 2020年 / 199卷
关键词：
Carbon nanotubes; Electrical conductivity; Composites; Percolation threshold; Modelling; MECHANICAL-PROPERTIES; WAVE-PROPAGATION; BEHAVIOR; NANOCOMPOSITE; MIXTURES; SENSOR;
D O I：
10.1016/j.compositesb.2020.108314
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents an analytical study on the electrical conductivity of composites whose constituted materials have distinct electrical properties. The present study investigates the effect of the aspect ratio of inclusions on the effective electrical conductivity of composites. Formulations are derived for determining the percolation threshold and calculating the electrical conductivity of composites with considering aspect ratio effect. The validation of the present model is also provided by using available experimental data. The present analytical model can be applied to predict the electrical behaviour of carbon-nanotube fibre reinforced polymer composites.
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页数：7
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