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Simulation of the role of agglomerations in the tunneling conductivity of polymer/carbon nanotube piezoresistive strain sensors

Authors
Haghgoo, MojtabaAnsari, RezaHassanzadeh-Aghdam, Mohammad KazemJang, Sung-HwanNankali, Mohammad
Issue Date
Oct-2023
Publisher
Elsevier Ltd
Keywords
CNT; Monte Carlo method; Piezoresistivity; Polymer; Tunneling conductivity
Citation
Composites Science and Technology, v.243, pp 1 - 9
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Composites Science and Technology
Volume
243
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/115123
DOI
10.1016/j.compscitech.2023.110242
ISSN
0266-3538
1879-1050
Abstract
A 3D Monte Carlo method paired with a percolation model is carried out to predict the electrical resistivity and piezoresistive sensitivity of carbon nanotube (CNT)-polymer piezoresistive sensors. CNTs are randomly dispersed into the insulating layer of a polymer matrix having agglomerated morphologies in some parts. The electrical resistivity of nanocomposite with a defined agglomeration state is determined by considering the tunneling effect between each connected pair of CNTs. The influence of various parameters such as agglomeration radius, percentage, intrinsic properties and geometries of CNTs are investigated. A comparison was made between the analytical results and experimental data. Considering the tunneling behavior in the vicinity of the percolation transition, a good agreement is obtained between the analytical results and experimental data. Monte Carlo simulations indicated that the tunneling resistance with a random distribution of CNTs depends on the level of agglomeration. Results revealed that piezoresistive sensitivity was diminished by larger agglomerations. © 2023 Elsevier Ltd
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Jang, Sung Hwan
ERICA 공학대학 (DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING)
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