Bending Analysis of Linear and Non-Linear Functionally Graded Carbon Nanotube Reinforced Nanocomposite Plates with Temperature-Dependent Material Properties

This article offers an extensive examination of the bending characteristics of functionally graded carbon nanotube-reinforced composite (CNT-RC) plates with material properties that depend on temperature. It investigates both uniform and non-uniform (functionally graded) arrangements of CNTs throughout the thickness of the plate, addressing an existing research gap. The effective material characteristics of the CNT-RC plates, taking into account the influences of temperature and moisture, are calculated using the extended rule of mixtures. The study employs first-order shear deformation theory (FSDT) to establish the governing equations, integrating thermo-elastic relationships, which are numerically addressed through the finite element method. A validation study verifies the precision of the proposed methodology. A detailed parametric analysis is performed to assess the effects of crucial elements such as plate geometry (length-to-width and width-to-thickness ratios), CNT volume fraction, boundary conditions, and both linear and non-linear CNT distribution schemes on the bending behavior of the CNT-RC plates. This research provides significant insights into the design and optimization of CNT-reinforced composite materials for advanced engineering uses.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2024-11-19
DOI
https://doi.org/10.52783/jisem.v10i1.10028
Primary Topic
Material Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bending Analysis of Linear and Non-Linear Functionally Graded Carbon Nanotube Reinforced Nanocomposite Plates with Temperature-Dependent Material Properties

A. V. Hamza
Journal of Information Systems Engineering & Management
Material Properties and Applications
article

Bending Analysis of Linear and Non-Linear Functionally Graded Carbon Nanotube Reinforced Nanocomposite Plates with Temperature-Dependent Material Properties

A. V. Hamza
article en

Abstract

This article offers an extensive examination of the bending characteristics of functionally graded carbon nanotube-reinforced composite (CNT-RC) plates with material properties that depend on temperature. It investigates both uniform and non-uniform (functionally graded) arrangements of CNTs throughout the thickness of the plate, addressing an existing research gap. The effective material characteristics of the CNT-RC plates, taking into account the influences of temperature and moisture, are calculated using the extended rule of mixtures. The study employs first-order shear deformation theory (FSDT) to establish the governing equations, integrating thermo-elastic relationships, which are numerically addressed through the finite element method. A validation study verifies the precision of the proposed methodology. A detailed parametric analysis is performed to assess the effects of crucial elements such as plate geometry (length-to-width and width-to-thickness ratios), CNT volume fraction, boundary conditions, and both linear and non-linear CNT distribution schemes on the bending behavior of the CNT-RC plates. This research provides significant insights into the design and optimization of CNT-reinforced composite materials for advanced engineering uses.

Journal of Information Systems Engineering & ManagementVol. 10(1)
Openalex Percentile: Top 48%
Material Properties and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.