The prediction on cooling and thermal enhancement in ternary-Boger hybrid nanofluid on a spinning sphere via finite element method

In this manuscript, ternary Boger nanofluid on porous spinning sphere in mass diffusion, heat energy and microorganisms is discussed. Base fluid is considered as diathermic oil, whereas ternary hybrid nanofluid contains aluminum oxide, MnZnFe2O4 and CoFe2O4. Ternary hybrid nanofluid has significant performance on the cooling process and thermal enhancement. The mechanism of Oxytactic microorganisms is used to determine wastewater treatment and engineering processes. The current model can be applied in applications of cooling of transformers, electronic systems, nuclear reactors, solar collectors and accelerates heat dissipation. The magnetic field is applied, thermo-phoresis and Brownian motion are used. Transfer of heat energy is experienced using the heat sink, viscous dissipation and Joule heating with convective boundary conditions. Various shapes (Sphere, Lamina, tetrahedron, column and hexahedron) of nanofluid are considered. The desired model in terms of ODEs is attained using transformations. The finite element method is used for numerical results. The cooling process can be achieved using a combination of SiC,Al2O3,Co3O4/diathermicoil with convection and enhanced thermal conductivity. Trihybrid nanofluid decreases the surface temperature and improves the cooling mechanism in applications of industrial cooling processes. Lamina and column shapes of nanofluid attain 21 % heat transfer rate, while sphere and tetrahedron shapes obtain 19 % which is greater than that of the hexahedron.

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Publication Details

Journal
Results in Engineering
Published
2025-12-05
DOI
https://doi.org/10.1016/j.rineng.2025.108497
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

The prediction on cooling and thermal enhancement in ternary-Boger hybrid nanofluid on a spinning sphere via finite element method

Ahmed M. Galal, Hakim AL Garalleh, Seham M. Al‐Mekhlafi, Umar Nazir et al.
Results in Engineering
Nanofluid Flow and Heat Transfer
article

The prediction on cooling and thermal enhancement in ternary-Boger hybrid nanofluid on a spinning sphere via finite element method

Ahmed M. Galal, Hakim AL Garalleh, Seham M. Al‐Mekhlafi, Umar Nazir, Mohamed Ayadi, Khan Hina
article en

Abstract

In this manuscript, ternary Boger nanofluid on porous spinning sphere in mass diffusion, heat energy and microorganisms is discussed. Base fluid is considered as diathermic oil, whereas ternary hybrid nanofluid contains aluminum oxide, MnZnFe2O4 and CoFe2O4. Ternary hybrid nanofluid has significant performance on the cooling process and thermal enhancement. The mechanism of Oxytactic microorganisms is used to determine wastewater treatment and engineering processes. The current model can be applied in applications of cooling of transformers, electronic systems, nuclear reactors, solar collectors and accelerates heat dissipation. The magnetic field is applied, thermo-phoresis and Brownian motion are used. Transfer of heat energy is experienced using the heat sink, viscous dissipation and Joule heating with convective boundary conditions. Various shapes (Sphere, Lamina, tetrahedron, column and hexahedron) of nanofluid are considered. The desired model in terms of ODEs is attained using transformations. The finite element method is used for numerical results. The cooling process can be achieved using a combination of SiC,Al2O3,Co3O4/diathermicoil with convection and enhanced thermal conductivity. Trihybrid nanofluid decreases the surface temperature and improves the cooling mechanism in applications of industrial cooling processes. Lamina and column shapes of nanofluid attain 21 % heat transfer rate, while sphere and tetrahedron shapes obtain 19 % which is greater than that of the hexahedron.

Results in EngineeringVol. 29
Openalex Percentile: Top 62%
Nanofluid Flow and Heat Transfer
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The prediction on cooling and thermal enhancement in ternary-Boger hybrid nanofluid on a spinning sphere via finite element method — Ahmed M. Galal, Hakim AL Garalleh, et al. · Results in Engineering (2025) | TGRS Research Map | TGRS