Heat transfer aspects in Carreau nanofluid having hybrid nanoparticles through a porous medium

Waqas, Hassan; Farooq, Umar; Yang, Songlan; Muhammad, Taseer; Imran, Muhammad

doi:10.1002/zamm.202100414

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…To address computational fluid dynamic problems (8–11), the Galerkin Finite Element Method (GFEM) is used. Recent publications (Rana et al , 2023; Arif et al , 2022a, 2022b) have widely used this strategy to address various complex challenges. The approach includes the stages listed below:…”

Section: Solution Methodologymentioning

confidence: 99%

Detailed investigation on thermal enhancement and mass transport in 3D flow of Carreau–Yasuda ternary and hybrid nanofluids using the finite element method

Rana,

Nawaz,

Alharbi

2023

HFF

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Purpose The purpose of this study is to analyze the transportation of heat and mass in three-dimensional (3D) shear rate-dependent viscous fluid. Thermal enhancement plays a significant role in industrial and engineering applications. For this, the authors dispersed trihybrid nanoparticles into the fluid to enhance the working fluid’s thermal enhancement. Design/methodology/approach The finite element method is a numerical scheme and is powerful in achieving convergent and grid-independent solutions compared with other numerical techniques. This method was initially assigned to structural problems. However, it is equally successful for computational fluid dynamics problems. Findings Wall shear stress has shown an increasing behavior as the intensity of the magnetic field is increased. Simulations have predicted that Ohmic heat in the case of trihybrid nanofluid (MoS2–Al2O3–Cu/C2H6O2) has the greatest value in comparison with mono and hybrid nanofluids. The most significant influence of chemical reaction on the concentration in tri-nanofluid is noted. This observation is pointed out for both types of chemical reaction (destructive or generative) parameters. Originality/value Through a literature survey, the authors analyzed that no one has yet to work on a 3D magnetohydrodynamics Carreau–Yasuda trihybrid nanofluid over a stretched sheet for improving heat and mass transfer over hybrid nanofluids. Herein, molybdenum disulfide (MoS2), aluminum oxide (Al2O3) and copper (Cu) nanoparticles are mixed in ethylene glycol (C2H6O2) to study the thermal enhancement and mass transport of their corresponding resultant mono (Cu/C2H6O2), hybrid (Al2O3–Cu/C2H6O2) and trihybrid (MoS2–Al2O3–Cu/C2H6O2) nanofluids.

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Section: Solution Methodologymentioning

confidence: 99%

Detailed investigation on thermal enhancement and mass transport in 3D flow of Carreau–Yasuda ternary and hybrid nanofluids using the finite element method

Rana,

Nawaz,

Alharbi

2023

HFF

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Exploring the Influence of Induced Magnetic Fields and Double-Diffusive Convection on Carreau Nanofluid Flow through Diverse Geometries: A Comparative Study Using Numerical and ANN Approaches

Jakeer,

Reddy,

Easwaramoorthy

et al. 2023

Mathematics

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This current investigation aims to explore the significance of induced magnetic fields and double-diffusive convection in the radiative flow of Carreau nanofluid through three distinct geometries. To simplify the fluid transport equations, appropriate self-similarity variables were employed, converting them into ordinary differential equations. These equations were subsequently solved using the Runge–Kutta–Fehlberg (RKF) method. Through graphical representations like graphs and tables, the study demonstrates how various dynamic factors influence the fluid’s transport characteristics. Additionally, the artificial neural network (ANN) approach is considered an alternative method to handle fluid flow issues, significantly reducing processing time. In this study, a novel intelligent numerical computing approach was adopted, implementing a Levenberg–Marquardt algorithm-based MLP feed-forward back-propagation ANN. Data collection was conducted to evaluate, validate, and guide the artificial neural network model. Throughout all the investigated geometries, both velocity and induced magnetic profiles exhibit a declining trend for higher values of the magnetic parameter. An increase in the Dufour number corresponds to a rise in the nanofluid temperature. The concentration of nanofluid increases with higher values of the Soret number. Similarly, the nanofluid velocity increases with higher velocity slip parameter values, while the fluid temperature exhibits opposite behavior, decreasing with increasing velocity slip parameter values.

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Heat transfer aspects in Carreau nanofluid having hybrid nanoparticles through a porous medium

Cited by 2 publications

References 37 publications

Detailed investigation on thermal enhancement and mass transport in 3D flow of Carreau–Yasuda ternary and hybrid nanofluids using the finite element method

Detailed investigation on thermal enhancement and mass transport in 3D flow of Carreau–Yasuda ternary and hybrid nanofluids using the finite element method

Exploring the Influence of Induced Magnetic Fields and Double-Diffusive Convection on Carreau Nanofluid Flow through Diverse Geometries: A Comparative Study Using Numerical and ANN Approaches

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