Charge carrier transport and low electrical percolation threshold in multiwalled carbon nanotube polymer nanocomposites

The three-dimensional volumetric application of conductive poly (3,4-ethylenedioxythiophene)/poly (4-styrenesulfonate) (PEDOT:PSS) to multiwalled carbon nanotubes (MWCNTs) has not been widely reported. In this study, the applicability of the 3D PEDOT:PSS-MWCNT composite for a gas sensor was investigated with different PEDOT:PSS concentrations. The gas-sensing performance of the 3D PEDOT:PSS-MWCNT composites was investigated using ethanol and carbon monoxide (CO) gas. Overall, in comparison with the pristine MWCNTs, as the PEDOT:PSS concentration increased, the 3D PEDOT:PSS-MWCNT composites exhibited increased conductivity and enhanced gas sensing performances (fast response and recovery times) to both ethanol and CO gases. Importantly, although the PEDOT:PSS coating layer reduced the number of sites for the adsorption and desorption of gas molecules, the charge-carrier transport between the gas molecules and MWCNTs was significantly enhanced. Thus, PEDOT:PSS can be chemically grafted to MWCNTs to enhance the connectivity and conductivity of a 3D network, leading to possible applications in gas sensors.

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Effects of the filler size on the electrical percolation threshold of carbon black-carbon nanotube-polymer composites

Journal of Applied Polymer Science ◽

10.1002/app.46517 ◽

2018 ◽

Vol 135 (32) ◽

pp. 46517 ◽

Cited By ~ 9

Author(s):

Ying Huang ◽

Wendong Wang ◽

Xiao Zeng ◽

Xiaohui Guo ◽

Yangyang Zhang ◽

...

Keyword(s):

Carbon Nanotube ◽

Carbon Black ◽

Percolation Threshold ◽

Polymer Composites ◽

Black Carbon ◽

Electrical Percolation ◽

Filler Size ◽

Electrical Percolation Threshold

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Damage assessment of random multiwalled carbon nanotube-reinforced polymer nanocomposites

Science and Engineering of Composite Materials ◽

10.1515/secm-2015-0460 ◽

2018 ◽

Vol 25 (5) ◽

pp. 847-853

Author(s):

Belkacem Kada ◽

Abdullah Algarni ◽

Mostefa Bourchak ◽

Mahmoud N. Nahas

Keyword(s):

Carbon Nanotube ◽

Prediction Model ◽

Polymer Nanocomposites ◽

Experimental Testing ◽

Numerical Procedure ◽

Multiwalled Carbon Nanotube ◽

Multiwalled Carbon ◽

Element Analysis ◽

Damage Initiation ◽

Reinforced Polymer

AbstractThe paper presents a numerical procedure to evaluate the mechanical properties and predict the damage initiation of random multiwalled carbon nanotube-reinforced polymer nanocomposites (MWCNT-RPNC). The Hashin-Shtrikman (H-S) random prediction model is used to compute the properties of the reinforced polymer matrix, whereas the Chamis model is used to compute the lamina properties and the Hashin progressive damage model within the ABAQUS environment is used as a finite element analysis (FEA) tool to predict the damage initiation in the reinforced composite material. Experimental testing is employed to validate the numerical results and to adjust the H-S prediction model for MWCNT-RPNC.

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