Characterization and modeling of the effective electrical conductivity of a carbon nanotube/polymer composite containing chain-structured ferromagnetic particles
- Authors
- Jang, Sung-Hwan; Yin, Huiming
- Issue Date
- Jan-2017
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- anisotropy; carbon nanotubes/polymer composites; chain-structured ferromagnetic particles; Effective electrical conductivity; strain sensing
- Citation
- JOURNAL OF COMPOSITE MATERIALS, v.51, no.2, pp 171 - 178
- Pages
- 8
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- JOURNAL OF COMPOSITE MATERIALS
- Volume
- 51
- Number
- 2
- Start Page
- 171
- End Page
- 178
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/13664
- DOI
- 10.1177/0021998316644846
- ISSN
- 0021-9983
1530-793X
- Abstract
- The effective electrical conductivity of multi-walled carbon nanotube/polydimethylsiloxane composites with chain-structured ferromagnetic particles has been investigated by experiments and micromechanics-based modeling. A multi-scale modeling approach is used to consider different size of fillers of multi-walled carbon nanotubes and particles as well as their distribution in the matrix. At nanoscale, for multi-walled carbon nanotube/polydimethylsiloxane composite, eight-chain model and influence of waviness of multi-walled carbon nanotube are considered to render an effective electrical conductivity. At microscale, ferromagnetic particles are aligned in the matrix made of the multi-walled carbon nanotube/polydimethylsiloxane composite, and an analytical model is established based on representative volume element. The influence of inter-particle distance is evaluated. The proposed analytic results agree well with the experimental results. The present model can be a useful tool for design and analysis of these composites for sensing applications considering their percolation threshold and overall electrical conductivity.
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