Convective heat transfer in nanofluids inside an inclined square enclosure in the presence of heat source, Brownian motion and oriented magnetic field

Khamis S. Al Kalbani, M.M. Rahman

Research output: Contribution to journalArticle

Abstract

In this paper, natural convective heat transfer flow inside an inclined square enclosure filled with different types of nanofluids having various shapes of the nanoparticles are investigated numerically using Galerkin weighted residual finite element technique. The effects of the Brownian diffusion of the nanoparticles, uniform heat source position, magnetic field intensity and orientation are taken into consideration in nanofluid modeling. The results indicate that an increment in the Rayleigh number, the Hartmann number, and volume fraction as well as the geometry inclination angle affect the heat transfer rates within the enclosure quite significantly. The heat source position significantly controls the heat transfer rates of the nanofluids. The distributions of the average heat transfer rates varying the position of the heat source with respect to the geometry inclination angle are calculated for the first time.
Original languageEnglish
Pages (from-to)2188-2207
Number of pages15
JournalJournal of Engineering Physics and Thermophysics
Volume92
Issue number5
Publication statusPublished - Sep 2019

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Brownian movement
convective heat transfer
enclosure
heat sources
Enclosures
heat transfer
Magnetic fields
Heat transfer
inclination
magnetic fields
Hartmann number
nanoparticles
Rayleigh number
Nanoparticles
geometry
magnetic flux
Geometry
Position control
Volume fraction
Hot Temperature

Cite this

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title = "Convective heat transfer in nanofluids inside an inclined square enclosure in the presence of heat source, Brownian motion and oriented magnetic field",
abstract = "In this paper, natural convective heat transfer flow inside an inclined square enclosure filled with different types of nanofluids having various shapes of the nanoparticles are investigated numerically using Galerkin weighted residual finite element technique. The effects of the Brownian diffusion of the nanoparticles, uniform heat source position, magnetic field intensity and orientation are taken into consideration in nanofluid modeling. The results indicate that an increment in the Rayleigh number, the Hartmann number, and volume fraction as well as the geometry inclination angle affect the heat transfer rates within the enclosure quite significantly. The heat source position significantly controls the heat transfer rates of the nanofluids. The distributions of the average heat transfer rates varying the position of the heat source with respect to the geometry inclination angle are calculated for the first time.",
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AU - Al Kalbani, Khamis S.

AU - Rahman , M.M.

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N2 - In this paper, natural convective heat transfer flow inside an inclined square enclosure filled with different types of nanofluids having various shapes of the nanoparticles are investigated numerically using Galerkin weighted residual finite element technique. The effects of the Brownian diffusion of the nanoparticles, uniform heat source position, magnetic field intensity and orientation are taken into consideration in nanofluid modeling. The results indicate that an increment in the Rayleigh number, the Hartmann number, and volume fraction as well as the geometry inclination angle affect the heat transfer rates within the enclosure quite significantly. The heat source position significantly controls the heat transfer rates of the nanofluids. The distributions of the average heat transfer rates varying the position of the heat source with respect to the geometry inclination angle are calculated for the first time.

AB - In this paper, natural convective heat transfer flow inside an inclined square enclosure filled with different types of nanofluids having various shapes of the nanoparticles are investigated numerically using Galerkin weighted residual finite element technique. The effects of the Brownian diffusion of the nanoparticles, uniform heat source position, magnetic field intensity and orientation are taken into consideration in nanofluid modeling. The results indicate that an increment in the Rayleigh number, the Hartmann number, and volume fraction as well as the geometry inclination angle affect the heat transfer rates within the enclosure quite significantly. The heat source position significantly controls the heat transfer rates of the nanofluids. The distributions of the average heat transfer rates varying the position of the heat source with respect to the geometry inclination angle are calculated for the first time.

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JO - Journal of Engineering Physics and Thermophysics

JF - Journal of Engineering Physics and Thermophysics

SN - 1062-0125

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