Structural characterization and electrical properties of carbon nanotubes/epoxy polymer composites

2016 ◽  
Vol 134 (8) ◽  
Author(s):  
Sofia Boukheir ◽  
Adél Len ◽  
János Füzi ◽  
Viktor Kenderesi ◽  
Mohammed Essaid Achour ◽  
...  
2016 ◽  
Vol 18 (11) ◽  
pp. 1897-1905 ◽  
Author(s):  
G. Domínguez-Rodríguez ◽  
A. Tapia ◽  
G. D. Seidel ◽  
F. Avilés

2006 ◽  
Vol 17 (6) ◽  
pp. 1551-1557 ◽  
Author(s):  
Shiren Wang ◽  
Zhiyong Liang ◽  
Tina Liu ◽  
Ben Wang ◽  
Chuck Zhang

2017 ◽  
Vol 50 (4) ◽  
pp. 183-188 ◽  
Author(s):  
S. Boukheir ◽  
A. Len ◽  
J. Füzi ◽  
V. Kenderesi ◽  
M. E. Achour ◽  
...  

2019 ◽  
Vol 31 (2) ◽  
pp. 187-197
Author(s):  
Shuai Dong ◽  
Xuan Wu ◽  
Erhua Wang ◽  
Xiaojie Wang

Conductive polymer composites, consisting of multi-walled carbon nanotubes and a small amount of carbonyl iron particles, are fabricated under an ordinary magnetic field, to form anisotropic microstructures. The alignment of carbonyl iron particles will change the structure of a multi-walled carbon nanotube network and consequently the electrical properties of conductive polymer composites. In this research, we focus on the effect of the anisotropic microstructures on the electrical properties of the composites, especially on the percolation threshold and electrical resistivity. Monte Carlo simulations for three-dimensional stick percolation systems are performed to predict the percolation threshold of the anisotropic conductive polymer composites in terms of orientation distribution of multi-walled carbon nanotubes. In addition, an eight-chain model is proposed to investigate the influence of the anisotropic distribution of multi-walled carbon nanotubes on the electrical resistivity of the composites. It is predicted that the percolation threshold could be reduced from 0.70 vol% for the isotropic composites to 0.49 vol% for the anisotropic composites. Meanwhile, the electrical resistivity of the anisotropic composites is about 10%–20% of that of the isotropic composites when the volume fraction of multi-walled carbon nanotubes is higher than the percolation threshold. The simulation results are compared with the experimental study results that show a very similar behavior although there are some deviations in the values.


2017 ◽  
Vol 47 (3) ◽  
pp. 126-130 ◽  
Author(s):  
Rajae Belhimria ◽  
Sofa Boukheir ◽  
Zineb Samir ◽  
Adel Len ◽  
Mohammed Essaid Achour ◽  
...  

2020 ◽  
Vol 13 (2) ◽  
pp. 113-121

Abstract: The aim of this work is to investigate the electric properties of carbon nanotube-reinforced epoxy polymer composites, using impedance spectroscopy, in the frequency range from 1 to 10 and over the temperature range from 25 to 105 . The dielectric response was analyzed using the complex permittivity and the electrical modulus formalisms, depending on temperature and filler concentration in the polymer matrix. Furthermore, an equivalent circuit model is proposed to describe the impedance response of carbon nanotubes/epoxy composites. The impedance studies disclosed the appearance of grain and grain-boundary effects, as confirmed by the Nyquist plot. Keywords: Carbon nanotubes, Composites, Impedance spectroscopy, Equivalent circuit model, Grain effect, Grain-boundary effect.


2021 ◽  
Vol 899 ◽  
pp. 720-725
Author(s):  
Muslim A. Mikitaev ◽  
V.A. Borisov ◽  
Ismel V. Musov ◽  
Azamat L. Slonov ◽  
Diana M. Khakulova

We have obtained polymer composites based on low-pressure polyethylene and carbon-containing fillers: carbon black, carbon nanotubes. The electrical properties of the obtained polymer composites have been investigated. Obtained polymer composites have electrically conductive properties. This article shows that the electrical properties significantly depend on the concentration, type of carbon-containing filler, as well as on temperature and voltage. It was found that containment of a certain amount of carbon-containing fillers leads to a formation of conductive paths composites, leading to the manifestation of a positive temperature coefficient in electrical resistance by the material.


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