Calculation of electrical conductivity of self-sensing carbon nanotube composites
- Authors
- Fang, Yuan; Li, Long-Yuan; Jang, Sung-Hwan
- Issue Date
- Oct-2020
- Publisher
- Pergamon Press Ltd.
- Keywords
- Carbon nanotubes; Electrical conductivity; Composites; Percolation threshold; Modelling
- Citation
- Composites Part B: Engineering, v.199, pp 1 - 7
- Pages
- 7
- Indexed
- SCIE
SCOPUS
- Journal Title
- Composites Part B: Engineering
- Volume
- 199
- Start Page
- 1
- End Page
- 7
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/813
- DOI
- 10.1016/j.compositesb.2020.108314
- ISSN
- 1359-8368
1879-1069
- Abstract
- 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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Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING > 1. Journal Articles

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