Thermal dynamics of nanoparticle aggregation in MHD dissipative nanofluid flow within a wavy channel: Entropy generation minimization

This paper examines how nanoparticle aggregation and a consistent magnetic field influence the peristaltic movement of a dissipative nanofluid, which is caused by the sinusoidal deformation of the boundary. The viscosity of TiO 2 /H 2 O nanofluids is accurately determined by the Krieger-Dougherty model with nanoparticle aggregation, while thermal conductivity (TC) is estimated through the Bruggeman model. The set of governing equations are modeled in a fixed frame by utilizing the conservation laws of energy, mass and momentum. Galilean transformation is utilized to transform the system of equations into a wave frame, which is then converted into a dimensionless form. The assumption of a small Reynolds number and long wavelength serve to further simplify the set of equations, which are subsequently addressed through the implementation of the differential quadrature method (DQM), a highly effective numerical technique. Quantities of interest, namely velocity, pressure gradient, temperature, trapping phenomena, heat transfer, and volumetric entropy generation are analyzed across a range of physical parameters, including the solid volume fraction ( Φ = 0.01 − 0.04 ) , Eckert number ( E c = 0.0 − 0.1 ) , Hartman number ( M h = 0.2 − 2.2 ) , Grashof number ( G r = 1.0 − 3.0 ) and temperature ratio parameter ( θ d = 0.5 − 2.5 ) . A comparative analysis is conducted between the scenario involving aggregation and the one without aggregation. It is observed that nanoparticle aggregation significantly alters these quantities.

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Publication Details

Journal
Case Studies in Thermal Engineering
Published
2024-08-30
DOI
https://doi.org/10.1016/j.csite.2024.105054
Citations
8
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
1.48

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article

Thermal dynamics of nanoparticle aggregation in MHD dissipative nanofluid flow within a wavy channel: Entropy generation minimization

Muhammad Qasim, Muhammad Idrees Afridi, Ali Jawad Chamkha, Abid Hussanan
8 citations
Case Studies in Thermal Engineering
Nanofluid Flow and Heat Transfer
1.48
article

Thermal dynamics of nanoparticle aggregation in MHD dissipative nanofluid flow within a wavy channel: Entropy generation minimization

Muhammad Qasim, Muhammad Idrees Afridi, Ali Jawad Chamkha, Abid Hussanan
article en
8 citations

Abstract

This paper examines how nanoparticle aggregation and a consistent magnetic field influence the peristaltic movement of a dissipative nanofluid, which is caused by the sinusoidal deformation of the boundary. The viscosity of TiO 2 /H 2 O nanofluids is accurately determined by the Krieger-Dougherty model with nanoparticle aggregation, while thermal conductivity (TC) is estimated through the Bruggeman model. The set of governing equations are modeled in a fixed frame by utilizing the conservation laws of energy, mass and momentum. Galilean transformation is utilized to transform the system of equations into a wave frame, which is then converted into a dimensionless form. The assumption of a small Reynolds number and long wavelength serve to further simplify the set of equations, which are subsequently addressed through the implementation of the differential quadrature method (DQM), a highly effective numerical technique. Quantities of interest, namely velocity, pressure gradient, temperature, trapping phenomena, heat transfer, and volumetric entropy generation are analyzed across a range of physical parameters, including the solid volume fraction ( Φ = 0.01 − 0.04 ) , Eckert number ( E c = 0.0 − 0.1 ) , Hartman number ( M h = 0.2 − 2.2 ) , Grashof number ( G r = 1.0 − 3.0 ) and temperature ratio parameter ( θ d = 0.5 − 2.5 ) . A comparative analysis is conducted between the scenario involving aggregation and the one without aggregation. It is observed that nanoparticle aggregation significantly alters these quantities.

Case Studies in Thermal EngineeringVol. 61
Lingnan Normal University (CN), COMSATS University Islamabad (PK), University of Okara (PK), Kuwait College of Science and Technology (KW), Hanjiang Normal University, University of Education (PK)
Nanjing Normal University
Affordable and clean energy
Openalex Percentile: Top 19%
Nanofluid Flow and Heat Transfer
1.48
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