Thermal Management of Magnetohydrodynamic Nanofluid Within Porous C-Shaped Cavity with Undulated Baffle

Mahammed, Amine Belhadj; Redouane, Fares; Mourad, Lounis; Jamshed, Wasim; Hussain, Syed M.; Eid, Mohamed R.

doi:10.2514/1.t6365

Cited by 10 publications

(5 citation statements)

References 58 publications

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“…[70][71][72][73][74][75][76][77][78][79][80] Some recent developments exploring the significance of the considered research domain are reported by. [81][82][83][84][85][86][87][88][89][90][91][92]…”

Section: Discussionmentioning

confidence: 99%

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Thermal scrutinization of magetohydrodynamics CuO engine oil nanofluid flow across a horizontal surface via Koo–Kleinstreuer–Li modeling: A thermal case study

Hussain

Shahzad

Jamshed

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The current investigation aims to investigate the effects of ohmic heating, heat source, and adhesive dispersion in third-grade nanofluid flowing magnetohydrodynamics (MHD) boundary layer heat transmission using the Koo–Kleinstreuer–Li (KKL) model. As a basic fluid, copper oxide nano molecules are suspended in engine oil. The controlling formulas that regulate the fields of flow and heat conduction are partial differential equations (PDEs) which are then converted into models of nonlinear ordinary differential equations (ODEs) that use the necessary similarity conversions. The resulting ODEs are numerically resolved using the Keller-Box approach. The effects of different common liquids, nano molecule sizes, magnetic parameter, Prandtl, material constant, and Eckert numbers are described using diagrams and tables for the field of motion, the field of temperature, the rate of heat transfer, and the drag force factor. The results show that the speed, drag force, and nozzle number for copper oxide engine oil nanofluids are lower than that of the basic liquid, while the addition of nanoparticles raises the temperature. The drag force factor and the rate of heat transfer are both found to increase when the material constant rises.

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Section: Discussionmentioning

confidence: 99%

“…70–80 Some recent developments exploring the significance of the considered research domain are reported by. 81–92…”

Section: Discussionmentioning

confidence: 99%

Thermal scrutinization of magetohydrodynamics CuO engine oil nanofluid flow across a horizontal surface via Koo–Kleinstreuer–Li modeling: A thermal case study

Hussain

Shahzad

Jamshed

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…Zidan et al 26 studied the existence of wavy baffle in T‐shape enclosure filled by NEPCM and porous media. Belhadj Mahammed et al 27 illustrated the magnetohydrodynamics among natural convection within C‐shaped porous enclosure filled by Ag–water nanofluid considering corrugated baffle under different Ra , Ha , and Da numbers in addition to the nanofluid loading and porosity value. Chammam et al 28 studied the influence of roundish heater immersed in a ferro‐nanofluid inside wavy enclosure subjected to an inclined magnetic field through utilization of finite element method.…”

Section: Introductionmentioning

confidence: 99%

Inhomogeneous flow model of natural convection, entropy generation, and heatlines visualization in wavy I‐shaped enclosure with rectangular heater

Abdulkadhim,

Abed,

Hamzah

et al. 2024

Heat Trans

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The present investigation is on examination of the natural convection and entropy generation considering the heatlines visualization of nanofluid I‐shaped enclosure with two corrugated walls considering inner rectangular heater of three different heights. The influence of Brownian motion along with thermophoresis had been implemented using Inhomogeneous two‐phase model of nanofluid. The governing equations were solved numerically using COMSOL software. Influence of Rayleigh number , Buoyancy ratio number , Lewis number , heater length . The results indicate that the influence of Lewis number on heat transfer bettering is stronger at high Rayleigh number while its impact is negligible at a lower value of Rayleigh number (conduction mode). In addition, the total entropy generation gets its highest value at Lewis number . Bejan number, fluid flow strength and heat rate increase as the rectangular heater height increases. Also, higher heat transfer augmentation is taken when the heater height is while increasing the heater height to leads to more total entropy generation. The impact of heater height on total entropy generation is highly affected by Rayleigh number as increasing the heater height from into , total entropy generation increases by at while it increases by at .

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“…Much research has been done to identify the effect of heat source/sink on nanofluid, such as Refs. [ [38] , [39] , [40] , [41] , [42] ].…”

Section: Introductionmentioning

confidence: 99%

Irreversibility analysis of hydromagnetic nanofluid flow past a horizontal surface via Koo-Kleinstreuer-Li (KKL) model

Hussain

Shahzad

Katbar

et al. 2023

Heliyon

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Thermal Management of Magnetohydrodynamic Nanofluid Within Porous C-Shaped Cavity with Undulated Baffle

Cited by 10 publications

References 58 publications

Thermal scrutinization of magetohydrodynamics CuO engine oil nanofluid flow across a horizontal surface via Koo–Kleinstreuer–Li modeling: A thermal case study

Thermal scrutinization of magetohydrodynamics CuO engine oil nanofluid flow across a horizontal surface via Koo–Kleinstreuer–Li modeling: A thermal case study

Inhomogeneous flow model of natural convection, entropy generation, and heatlines visualization in wavy I‐shaped enclosure with rectangular heater

Irreversibility analysis of hydromagnetic nanofluid flow past a horizontal surface via Koo-Kleinstreuer-Li (KKL) model

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