Nonlinear Convection and Radiative Heat Transfer in Kerosene-Alumina Nanofluid Flow Between Two Parallel Plates with Variable Viscosity

This research looks at the flow of a kerosene-alumina nanofluid in a nonlinear convection model including two parallel vertical plates. Variable viscosity, a magnetic field, nonlinear radiation, and heat sources that rely on temperature are all part of the inquiry. Reduces complex nonlinear partial differential equations to ordinary differential equations. The governing problem’s numerical solution was derived from the Runge-Kutta-Fehlberg algorithm. The analysis explores various fluid flow characteristics across a range of relevant parameters, with results illustrated through graphs and tables. Higher nonlinear convection increases buoyant forces, lowering fluid temperature. Additionally, an increased radiation parameter transfers more heat from the surface to the fluid, in fact increases the fluid temperature. Importantly, varying viscosity heats up faster than constant viscosity.

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Publication Details

Journal
Journal of Nanofluids
Published
2024-10-01
DOI
https://doi.org/10.1166/jon.2024.2193
Citations
2
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.37
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article

Nonlinear Convection and Radiative Heat Transfer in Kerosene-Alumina Nanofluid Flow Between Two Parallel Plates with Variable Viscosity

Debarpita Jyoti, Ali Jawad Chamkha, P. B. Sampath Kumar, V. Nagaradhika
2 citations
Journal of Nanofluids
Nanofluid Flow and Heat Transfer
0.37
article

Nonlinear Convection and Radiative Heat Transfer in Kerosene-Alumina Nanofluid Flow Between Two Parallel Plates with Variable Viscosity

Debarpita Jyoti, Ali Jawad Chamkha, P. B. Sampath Kumar, V. Nagaradhika
article en
2 citations

Abstract

This research looks at the flow of a kerosene-alumina nanofluid in a nonlinear convection model including two parallel vertical plates. Variable viscosity, a magnetic field, nonlinear radiation, and heat sources that rely on temperature are all part of the inquiry. Reduces complex nonlinear partial differential equations to ordinary differential equations. The governing problem’s numerical solution was derived from the Runge-Kutta-Fehlberg algorithm. The analysis explores various fluid flow characteristics across a range of relevant parameters, with results illustrated through graphs and tables. Higher nonlinear convection increases buoyant forces, lowering fluid temperature. Additionally, an increased radiation parameter transfers more heat from the surface to the fluid, in fact increases the fluid temperature. Importantly, varying viscosity heats up faster than constant viscosity.

Journal of NanofluidsVol. 13(5)
Rama University (IN), Kuwait College of Science and Technology (KW), Bangalore University (IN), GITAM University (IN)
Openalex Percentile: Top 41%
Nanofluid Flow and Heat Transfer
0.37
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