The University of Southampton
University of Southampton Institutional Repository

Numerical simulation of hydrothermal features of Cu–H2O nanofluid natural convection within a porous annulus considering diverse configurations of heater

Numerical simulation of hydrothermal features of Cu–H2O nanofluid natural convection within a porous annulus considering diverse configurations of heater
Numerical simulation of hydrothermal features of Cu–H2O nanofluid natural convection within a porous annulus considering diverse configurations of heater
The purpose of the current study is to numerically investigate the effects of shape factors of nanoparticles on natural convection in a fluid-saturated porous annulus developed between the elliptical cylinder and square enclosure. A numerical method called the control volume-based finite element method is implemented for solving the governing equations. The modified flow and thermal structures and corresponding heat transfer features are investigated. Numerical outcomes reveal very good grid independency and excellent agreement with the existing studies. The obtained results convey that at a certain aspect ratio, an increment in Rayleigh and Darcy numbers significantly augments the heat transfer and average Nusselt number. Further, enhancement of Rayleigh number increases the velocity of nanofluid, while that of aspect ratio of the elliptical cylinder shows the opposite trend.
1388-6150
2109-2125
Dogonchi, A. S.
77729fd1-e6c5-4820-bd5d-0e2b6e479aec
Nayak, M. K.
1f182b50-17a3-497a-8b82-e8646282021d
Karimi, N.
620646d6-27c9-4e1e-948f-f23e4a1e773a
Chamkha, Ali J.
b3b9e8d3-729d-4313-9288-b7e680549487
Ganji, D. D.
d317287e-7d3f-4564-b7e6-21f951266552
Dogonchi, A. S.
77729fd1-e6c5-4820-bd5d-0e2b6e479aec
Nayak, M. K.
1f182b50-17a3-497a-8b82-e8646282021d
Karimi, N.
620646d6-27c9-4e1e-948f-f23e4a1e773a
Chamkha, Ali J.
b3b9e8d3-729d-4313-9288-b7e680549487
Ganji, D. D.
d317287e-7d3f-4564-b7e6-21f951266552

Dogonchi, A. S., Nayak, M. K., Karimi, N., Chamkha, Ali J. and Ganji, D. D. (2020) Numerical simulation of hydrothermal features of Cu–H2O nanofluid natural convection within a porous annulus considering diverse configurations of heater. Journal of Thermal Analysis and Calorimetry, 141 (5), 2109-2125. (doi:10.1007/s10973-020-09419-y).

Record type: Article

Abstract

The purpose of the current study is to numerically investigate the effects of shape factors of nanoparticles on natural convection in a fluid-saturated porous annulus developed between the elliptical cylinder and square enclosure. A numerical method called the control volume-based finite element method is implemented for solving the governing equations. The modified flow and thermal structures and corresponding heat transfer features are investigated. Numerical outcomes reveal very good grid independency and excellent agreement with the existing studies. The obtained results convey that at a certain aspect ratio, an increment in Rayleigh and Darcy numbers significantly augments the heat transfer and average Nusselt number. Further, enhancement of Rayleigh number increases the velocity of nanofluid, while that of aspect ratio of the elliptical cylinder shows the opposite trend.

This record has no associated files available for download.

More information

Published date: 17 February 2020

Identifiers

Local EPrints ID: 509134
URI: http://eprints.soton.ac.uk/id/eprint/509134
ISSN: 1388-6150
PURE UUID: 9eca65b5-b69a-4510-bd5a-a8d36a1d5d5f
ORCID for N. Karimi: ORCID iD orcid.org/0000-0002-4559-6245

Catalogue record

Date deposited: 11 Feb 2026 17:56
Last modified: 12 Feb 2026 03:31

Export record

Altmetrics

Contributors

Author: A. S. Dogonchi
Author: M. K. Nayak
Author: N. Karimi ORCID iD
Author: Ali J. Chamkha
Author: D. D. Ganji

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×