Thermally radiative nanofluid heat transfer analysis inside a closed chamber with gyrotactic microorganisms

Purpose This paper aims to numerically examine the impact of gyrotactic microorganisms and radiation on heat transport features of magnetic nanoliquid within a closed cavity. Thermophoresis, chemical reaction and Brownian motion are also considered in flow geometry for the moment of nanoparticles. Design/methodology/approach Finite element method (FEM) was depleted to numerically approximate the temperature, momentum, concentration and microorganisms concentration of the nanoliquid. The present simulation was unsteady state, and the resulting transformed equations are simulated by FEM-based Mathematica algorithm. Findings It has been found that isotherm patterns get larger with increasing values of the magnetic field parameter. Additionally, numerical codes for rate of heat transport impedance inside the cavity with an increasing Brownian motion parameter values. Originality/value To the best of the authors’ knowledge, the research work carried out in this paper is new, and no part is copied from others’ works.

Authors

Publication Details

Journal
International Journal of Numerical Methods for Heat &amp Fluid Flow
Published
2024-09-20
DOI
https://doi.org/10.1108/hff-02-2024-0146
Citations
24
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
4.43
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article

Thermally radiative nanofluid heat transfer analysis inside a closed chamber with gyrotactic microorganisms

P. Sreedevi, P. Sudarsana Reddy
24 citations
International Journal of Numerical Methods for Heat &amp Fluid Flow
Nanofluid Flow and Heat Transfer
4.43
article

Thermally radiative nanofluid heat transfer analysis inside a closed chamber with gyrotactic microorganisms

P. Sreedevi, P. Sudarsana Reddy
article en
24 citations

Abstract

Purpose This paper aims to numerically examine the impact of gyrotactic microorganisms and radiation on heat transport features of magnetic nanoliquid within a closed cavity. Thermophoresis, chemical reaction and Brownian motion are also considered in flow geometry for the moment of nanoparticles. Design/methodology/approach Finite element method (FEM) was depleted to numerically approximate the temperature, momentum, concentration and microorganisms concentration of the nanoliquid. The present simulation was unsteady state, and the resulting transformed equations are simulated by FEM-based Mathematica algorithm. Findings It has been found that isotherm patterns get larger with increasing values of the magnetic field parameter. Additionally, numerical codes for rate of heat transport impedance inside the cavity with an increasing Brownian motion parameter values. Originality/value To the best of the authors’ knowledge, the research work carried out in this paper is new, and no part is copied from others’ works.

International Journal of Numerical Methods for Heat &amp Fluid FlowVol. 34(12)
Openalex Percentile: Top 5%
Nanofluid Flow and Heat Transfer
4.43
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