Recieved:

06/01/2026

Accepted:

14/08/2026

Page: 

doi:

http://dx.doi.org/10.17515/resm2026-1454ma0106rs

Views:

15

Numerical modeling of the effects of volume fraction and fiber orientation on the elastic modulus of a CNT/polymer-based nanocomposite material

Charafeddine Benatmane1,2, Samir Brek1,2, Lahcene Ghouari3,4

1Mechanical Engineering Department, Abbes Laghrour University, Khenchela, Algeria
2Laboratory of Engineering and Sciences of Advanced Materials (ISMA), Abbes Laghrour University, Khenchela, Algeria
3Mechanical Engineering Department, Dr Yahia Fares of Medea University, Medea, Algeria
4Laboratory of mathematical, Mechanical and Physical Modeling (LMP2M), University of Medea, Algeria

Abstract

The objective of this study is to predict the elastic modulus (Ec) of polymer/carbon nanotube (CNT) nanocomposites and to analyze the influence of CNT orientation and volume fraction on their mechanical behavior. A finite element numerical model was developed by considering different CNT orientations (horizontal, inclined, vertical, and random), with volume fractions ranging from 1.39% to 5.58%. The numerical results were compared with analytical micromechanical models commonly applied to short fiber reinforced composites. The findings demonstrate that both CNT orientation and volume fraction have a significant influence on the elastic modulus of the nanocomposite. Increasing the CNT volume fraction leads to a progressive enhancement of the Ec. Horizontally aligned CNTs exhibit the highest elastic modulus (Ec=4799.14 MPa), followed by randomly oriented, inclined, and vertically oriented CNT configurations. The predictions obtained using the finite element method show good agreement with the Halpin-Tsai analytical model. For the horizontal CNT configuration, the results are also consistent with the Cox and Lavngood-Goettler models for certain volume fractions. These results highlight the critical role of CNT orientation and content in enhancing the mechanical properties of polymer/CNT nanocomposites and contribute to the optimization of modeling approaches and material design strategies for these advanced materials.

Keywords

Nanocomposite; Carbon nanotubes; Polymer; Elastic modulus; Finite element method

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