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 - http://www.scopus.com/inward/record.url?scp=85126890827&partnerID=8YFLogxK
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 -