Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Calculation of electrical conductivity of self-sensing carbon nanotube composites

Authors
Fang, YuanLi, Long-YuanJang, 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.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jang, Sung Hwan photo

Jang, Sung Hwan
ERICA 공학대학 (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE