Numerical investigation of Al <sub>2</sub> O <sub>3</sub> -ethylene glycol-water nanofluid and Saffman dusty fluid in a horizontal duct with heat transfer using radial basis function method

Entropy generation is crucial in optimizing fluid flow processes, particularly in minimizing energy loss during heat transfer. Despite its importance, limited work has been done on the optimization of entropy and heat transfer in immiscible fluid flow systems, such as those used in enhanced oil recovery. This paper presents a scientific investigation of the time-dependent, generalized flow of two immiscible fluids focusing on the intricate behavior of Al2O3-EG-water nanofluid and Saffman dusty fluid through a horizontal duct. The analysis incorporates a system of coupled partial differential equations and a Radial Basis Function Pseudospectral method to approximate the derivatives velocity and temperature vectors. This study further addresses the knowledge gap in immiscible fluid flow systems by incorporating magnetic field effects, viscous dissipation, and entropy generation. The outcomes of this study have scientific implications, shedding light on heat transfer mechanisms and entropy generation in complex flow configurations. The investigation reveals that the presence of Al2O3 nanoparticles in the lower zone of the duct significantly enhances heat transfer compared to base fluids. The nanofluid exhibits improved convective heat transfer coefficients, leading to more efficient heat transfer processes.

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Publication Details

Journal
International Journal of Modelling and Simulation
Published
2026-06-29
DOI
https://doi.org/10.1080/02286203.2026.2693140
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

Numerical investigation of Al 2 O 3 -ethylene glycol-water nanofluid and Saffman dusty fluid in a horizontal duct with heat transfer using radial basis function method

Gurpreet Singh Bhatia, Deepak Kumar, Rajesh Kumar Chandrawat
International Journal of Modelling and Simulation
Nanofluid Flow and Heat Transfer
article

Numerical investigation of Al 2 O 3 -ethylene glycol-water nanofluid and Saffman dusty fluid in a horizontal duct with heat transfer using radial basis function method

Gurpreet Singh Bhatia, Deepak Kumar, Rajesh Kumar Chandrawat
article en

Abstract

Entropy generation is crucial in optimizing fluid flow processes, particularly in minimizing energy loss during heat transfer. Despite its importance, limited work has been done on the optimization of entropy and heat transfer in immiscible fluid flow systems, such as those used in enhanced oil recovery. This paper presents a scientific investigation of the time-dependent, generalized flow of two immiscible fluids focusing on the intricate behavior of Al2O3-EG-water nanofluid and Saffman dusty fluid through a horizontal duct. The analysis incorporates a system of coupled partial differential equations and a Radial Basis Function Pseudospectral method to approximate the derivatives velocity and temperature vectors. This study further addresses the knowledge gap in immiscible fluid flow systems by incorporating magnetic field effects, viscous dissipation, and entropy generation. The outcomes of this study have scientific implications, shedding light on heat transfer mechanisms and entropy generation in complex flow configurations. The investigation reveals that the presence of Al2O3 nanoparticles in the lower zone of the duct significantly enhances heat transfer compared to base fluids. The nanofluid exhibits improved convective heat transfer coefficients, leading to more efficient heat transfer processes.

International Journal of Modelling and Simulation
Lovely Professional University (IN), Manipal Academy of Higher Education (IN)
Clean water and sanitation
Openalex Percentile: Top 13%
Nanofluid Flow and Heat Transfer
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Numerical investigation of Al <sub>2</sub> O <sub>3</sub> -ethylene glycol-water nanofluid and Saffman dusty fluid in a horizontal duct with heat transfer using radial basis function method — Gurpreet Singh Bhatia, Deepak Kumar, et al. · International Journal of Modelling and Simulation (2026) | TGRS Research Map | TGRS