Effect of CNT additives on the electrical properties of derived nanocomposites (experimentally and numerical investigation)

S. Tamayo Vegas; A. Muhsan; M. Tarfaoui; K. Lafdi; L. Chang

doi:10.1016/j.matpr.2021.09.361

Effect of CNT additives on the electrical properties of derived nanocomposites (experimentally and numerical investigation)

S. Tamayo Vegas^*, A. Muhsan, M. Tarfaoui, K. Lafdi, L. Chang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

In this work, two simulations models have been developed to study the electrical percolation and the electrical conductivity of epoxy-based nanocomposite containing Multi-walled Carbon Nanotubes. The models are based on resistor-model and finite element analysis. The former was evaluated using MATLAB code and the finite element analysis using DIGIMAT software. The maximum tunnelling distance and its influence on the percolation probability and final electrical conductivity were studied. Electrical measurements on the samples were conducted for numerical validation. The experimental data showed a percolation achievement around 2 wt%, which was confirmed in the numerical simulations. This study provides evidence of the effectiveness of the resistor model and finite element method approach to predict the electrical conductivity of nanocomposites.

Original language	English
Pages (from-to)	199-205
Number of pages	7
Journal	Materials Today: Proceedings
Volume	52
Issue number	Part 2
Early online date	28 Oct 2021
DOIs	https://doi.org/10.1016/j.matpr.2021.09.361
Publication status	Published - 10 Mar 2022
Event	Seventh international biennial ‘Nanomaterials and Nanotechnology Meeting: NanoOstrava 2021 - VŠB–TU of Ostrava, Ostrava, Czech Republic Duration: 17 May 2021 → 20 May 2021 http://www.nanoostrava.cz/

Keywords

Polymer-matrix composites (PMCs)
Nanocomposites
Carbon nanotube
Electrical properties
Computational modelling

Access to Document

10.1016/j.matpr.2021.09.361

Cite this

@article{4d23f2ec715340e381219e00ecffa422,

title = "Effect of CNT additives on the electrical properties of derived nanocomposites (experimentally and numerical investigation)",

abstract = "In this work, two simulations models have been developed to study the electrical percolation and the electrical conductivity of epoxy-based nanocomposite containing Multi-walled Carbon Nanotubes. The models are based on resistor-model and finite element analysis. The former was evaluated using MATLAB code and the finite element analysis using DIGIMAT software. The maximum tunnelling distance and its influence on the percolation probability and final electrical conductivity were studied. Electrical measurements on the samples were conducted for numerical validation. The experimental data showed a percolation achievement around 2 wt\%, which was confirmed in the numerical simulations. This study provides evidence of the effectiveness of the resistor model and finite element method approach to predict the electrical conductivity of nanocomposites.",

keywords = "Polymer-matrix composites (PMCs), Nanocomposites, Carbon nanotube, Electrical properties, Computational modelling",

author = "\{Tamayo Vegas\}, S. and A. Muhsan and M. Tarfaoui and K. Lafdi and L. Chang",

note = "Funding Information: Authors acknowledge funding from the State Targeted Programs BR05236454 and BR05236524, and research grant AP05130446 from the Ministry of Education and Science of the Republic of Kazakhstan and the Nazarbayev University Faculty Development Competitive Research Grants 110119FD4501 and 110119FD4504.; Seventh international biennial {\textquoteleft}Nanomaterials and Nanotechnology Meeting : NanoOstrava 2021, NOM 2021 ; Conference date: 17-05-2021 Through 20-05-2021",

year = "2022",

month = mar,

day = "10",

doi = "10.1016/j.matpr.2021.09.361",

language = "English",

volume = "52",

pages = "199--205",

journal = "Materials Today: Proceedings",

issn = "2214-7853",

publisher = "Elsevier",

number = "Part 2",

url = "http://www.nanoostrava.cz/",

}

TY - JOUR

T1 - Effect of CNT additives on the electrical properties of derived nanocomposites (experimentally and numerical investigation)

AU - Tamayo Vegas, S.

AU - Muhsan, A.

AU - Tarfaoui, M.

AU - Lafdi, K.

AU - Chang, L.

N1 - Funding Information: Authors acknowledge funding from the State Targeted Programs BR05236454 and BR05236524, and research grant AP05130446 from the Ministry of Education and Science of the Republic of Kazakhstan and the Nazarbayev University Faculty Development Competitive Research Grants 110119FD4501 and 110119FD4504.

PY - 2022/3/10

Y1 - 2022/3/10

N2 - In this work, two simulations models have been developed to study the electrical percolation and the electrical conductivity of epoxy-based nanocomposite containing Multi-walled Carbon Nanotubes. The models are based on resistor-model and finite element analysis. The former was evaluated using MATLAB code and the finite element analysis using DIGIMAT software. The maximum tunnelling distance and its influence on the percolation probability and final electrical conductivity were studied. Electrical measurements on the samples were conducted for numerical validation. The experimental data showed a percolation achievement around 2 wt%, which was confirmed in the numerical simulations. This study provides evidence of the effectiveness of the resistor model and finite element method approach to predict the electrical conductivity of nanocomposites.

AB - In this work, two simulations models have been developed to study the electrical percolation and the electrical conductivity of epoxy-based nanocomposite containing Multi-walled Carbon Nanotubes. The models are based on resistor-model and finite element analysis. The former was evaluated using MATLAB code and the finite element analysis using DIGIMAT software. The maximum tunnelling distance and its influence on the percolation probability and final electrical conductivity were studied. Electrical measurements on the samples were conducted for numerical validation. The experimental data showed a percolation achievement around 2 wt%, which was confirmed in the numerical simulations. This study provides evidence of the effectiveness of the resistor model and finite element method approach to predict the electrical conductivity of nanocomposites.

KW - Polymer-matrix composites (PMCs)

KW - Nanocomposites

KW - Carbon nanotube

KW - Electrical properties

KW - Computational modelling

UR - https://www.scopus.com/pages/publications/85126890827

U2 - 10.1016/j.matpr.2021.09.361

DO - 10.1016/j.matpr.2021.09.361

M3 - Article

SN - 2214-7853

VL - 52

SP - 199

EP - 205

JO - Materials Today: Proceedings

JF - Materials Today: Proceedings

IS - Part 2

T2 - Seventh international biennial ‘Nanomaterials and Nanotechnology Meeting

Y2 - 17 May 2021 through 20 May 2021

ER -

Effect of CNT additives on the electrical properties of derived nanocomposites (experimentally and numerical investigation)

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this