Effect of Natural Convection Hybrid Nanofluid Flow on the Migration and Deposition of Mwcnt-F3o4 in a Square Enclosure

Çiçek, Oktay; Sheremet, Mikhail А.; Baytaş, A. Cihat

doi:10.2139/ssrn.4291397

Cited by 3 publications

(3 citation statements)

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“…Additionally, low concentrations of nanoparticles enhanced the heat transfer more effectively compared to higher concentrations. Çiçek et al [19] numerically analyzed a hybrid nanofluid natural convective flow, considering the migration and deposition nanoparticles phenomena. They found that adding nanoparticles and increasing Ra led to an improved heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

Aich,

Hilali-Jaghdam,

Alshahrani

et al. 2024

Symmetry

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This numerical investigation explores the enhanced control of the 3D natural convection (NC) within a cubic cavity filled with graphene–water nanofluids, utilizing a bottom-center-located tree-shaped obstacle and a horizontal magnetic field (MF). The analysis includes the effects of the Rayleigh number (Ra), the solid volume fraction of graphene (φ), the Hartmann number (Ha), and the fins’ length (W). The results show complex flow patterns and thermal behavior within the cavity, indicating the interactive effects of nanofluid properties, the tree-shaped obstacle, and magnetic field effects. The MHD effects reduce the convection, while the addition of graphene improves the thermal conductivity of the fluid, which enhances the heat transfer observed with increasing Rayleigh numbers. The increase in the fins’ length on the heat transfer efficiency is found to be slightly negative, which is attributed to the complex interplay between the enhanced heat transfer surface area and fluid flow disruption. This study presents an original combination of non-destructive methods (magnetic field) and a destructive method (tree-shaped obstacle) for the control of the fluid flow and heat transfer characteristics in a 3D cavity filled with graphene–water nanofluids. In addition, it provides valuable information for optimizing heat transfer control strategies, with applications in electronic cooling, renewable energy systems, and advanced thermal management solutions. The application of a magnetic field was found to reduce the maximum velocity and total entropy generation by about 82% and 76%, respectively. The addition of graphene nanoparticles was found to reduce the maximum velocity by about 5.5% without the magnetic field and to increase it by 1.12% for Ha = 100. Varying the obstacles’ length from W = 0.2 to W = 0.8 led to a reduction in velocity by about 23.6%.

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Section: Introductionmentioning

confidence: 99%

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

Aich,

Hilali-Jaghdam,

Alshahrani

et al. 2024

Symmetry

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“…Heat transport in the electromagnetohydrodynamic flow of Casson nanoliquid considering the heat source/sink was explored by Hussain et al 6 Mixed convective flow of hybrid nanomaterial was explored by Patil and Shankar. 7 Çiçek et al 8 explored the convective flow of hybrid nanofluid considering particle deposition inside a square cavity. There have been numerous investigations that have been conducted to explore nanofluid flow.…”

Section: Introductionmentioning

confidence: 99%

KHA model comprising MoS₄and CoFe₂O₃in engine oil invoking non-similar Darcy–Forchheimer flow with entropy and Cattaneo–Christov heat flux

Khan,

Hayat,

Alsaedi

2023

Nanoscale Adv.

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“…In the study, it was stated that dusty hybrid nanofluid-type fluids would be useful for examining flow on plastic, silicon-like surfaces. Çiçek et al (2023) dealt with the behaviour of MWCNT–Fe 3 O 4 composite nanoparticle and free convection of hybrid nanofluid in the square cavity by applying the one-way coupled Eulerian–Lagrangian approach. The authors revealed the optimum nanoparticles volume fraction concerning the flow field and augmentation of heat transfer and the significant effects of nanoparticles volume fraction and Rayleigh number on the deposition and distribution of particles.…”

Section: Introductionmentioning

confidence: 99%

Entropy generation minimization of hybrid nanofluid mixed convection flow in lid-driven square enclosure with heat-generating porous layer on inner walls

Çiçek,

Baytaş,

Baytaş

2023

HFF

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Purpose This study aims to numerically scrutinize the entropy generation minimization and mixed convective heat transfer of multi-walled carbon nanotubes–Fe3O4/water hybrid nanofluid flow in a lid-driven square enclosure with heat generation in the presence of a porous layer on inner surfaces, considering local thermal non-equilibrium (LTNE) approach and the non-Darcy flow model. Design/methodology/approach The dimensionless governing equations for hybrid nanofluid and solid phases are solved by applying the finite volume method and semi-implicit method for pressure-linked equations algorithm. Findings The roles of the internal heat generation in the porous layer, LTNE model and nanoparticles volume fraction on mixed convection phenomenon and entropy generation are introduced for lid-driven cavity hybrid nanofluid flow. Based on the investigation of entropy generation and heat transfer, the minimum total entropy generation and average Nusselt numbers are found at 1 ≤ Ri ≤ 10 where the effect of the forced and free convection flow directions being opposite each other is very significant. When considering various nanoparticle volume fractions, it becomes evident that the minimum entropy generation occurs in the case of φ = 0.1%. The outcomes of LTNE number reveal the operating parameters in which thermal equilibrium occurs between hybrid nanofluid and solid phases. Originality/value The analysis of entropy generation under various shear and buoyancy forces plays a significant role in the suitable thermal design and optimization of mixed convective heat transfer applications. This research significantly contributes to the optimization of design and the advancement of innovative solutions across diverse engineering disciplines, such as packed-bed thermal energy storage and thermal insulation.

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Effect of Natural Convection Hybrid Nanofluid Flow on the Migration and Deposition of Mwcnt-F3o4 in a Square Enclosure

Cited by 3 publications

References 0 publications

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

KHA model comprising MoS₄and CoFe₂O₃in engine oil invoking non-similar Darcy–Forchheimer flow with entropy and Cattaneo–Christov heat flux

Entropy generation minimization of hybrid nanofluid mixed convection flow in lid-driven square enclosure with heat-generating porous layer on inner walls

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Effect of Natural Convection Hybrid Nanofluid Flow on the Migration and Deposition of Mwcnt-F3o4 in a Square Enclosure

Cited by 3 publications

References 0 publications

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

Control of Three-Dimensional Natural Convection of Graphene–Water Nanofluids Using Symmetrical Tree-Shaped Obstacle and External Magnetic Field

KHA model comprising MoS4and CoFe2O3in engine oil invoking non-similar Darcy–Forchheimer flow with entropy and Cattaneo–Christov heat flux

Entropy generation minimization of hybrid nanofluid mixed convection flow in lid-driven square enclosure with heat-generating porous layer on inner walls

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KHA model comprising MoS₄and CoFe₂O₃in engine oil invoking non-similar Darcy–Forchheimer flow with entropy and Cattaneo–Christov heat flux