Natural convection of a magnetizable hybrid nanofluid inside a porous enclosure subjected to two variable magnetic fields

Izadi, Mohsen; Mohebbi, Rasul; Delouei, A. Amiri; Sajjadi, H.

doi:10.1016/j.ijmecsci.2018.11.019

Cited by 132 publications

(29 citation statements)

References 59 publications

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“…but in current article we consider the Buongiorno model the reason behind its Brownnian motion thermophoretic impacts trigger the energy transport phenomeon. Some related literature on the homogeneous and non-homogeneous models available in the references [5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

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Keller-box analysis of inclination flow of magnetized Williamson nanofluid

et al. 2020

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The main purpose of the current investigation is to report the numerical solution of the thermal radiations and MHD effect on the laminar flow of an incompressible Williamson nanofluid. Further, the effect of Brownian motion and thermophoresis on the flow field are considered. Compatible similarities are implemented on the flow equations to obtain the nonlinear ordinary differential equations. The numerical solution of the governing differential equations is obtained via the Keller box scheme. Findings exhibit that the energy and mass transport moderates with the growth of inclination factor along with Brownian motion effect. The temperature profile increases with the radiations factor attains a peak, which is useful for the industrial procedures. The velocity profile increases for the higher magnitudes of buoyancy factor.

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Section: Introductionmentioning

confidence: 99%

“…The movement of fluid changes when conducting liquid moves under the magnetic field, and the magnetized nanoparticles interact through Lorentz forces. For brief information on magnetized material properties, one can see the investigator reports on MHD flows in the references [11,[16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Keller-box analysis of inclination flow of magnetized Williamson nanofluid

et al. 2020

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“…8 And a membrane, composited of ZnO particles and gold nanoparticles, could produce steam in abundance to generate clean water. Using the finite element method, Izadi et al 17 researched the free convection characteristics of magnetofluid in porous media under the action of two different magnetic sources as well. [10][11][12][13] Natural convection of nanofluids is one of the most important research topics.…”

Section: Introductionmentioning

confidence: 99%

“…Selimefendigil et al 16 obtained the thermal performance of nanofluids in a three-dimensional adiabatic rotating cylindrical cavity by finite element method. Using the finite element method, Izadi et al 17 researched the free convection characteristics of magnetofluid in porous media under the action of two different magnetic sources as well. Using Buongiorno's model, Izadi et al 18 investigated the thermal property of copper-water nanofluids in wavy shells.…”

Section: Introductionmentioning

confidence: 99%

Influence of rotation angle of a triangular tube with a built‐in twisted tape on the thermal‐exergy efficiency and entropy generation of nanofluids in the heat exchange system

Zhao

et al. 2020

Asia-Pacific J Chem Eng

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In order to investigate the thermal-exergy efficiency and entropy generation of nanofluids flowing through a triangular tube with a built-in twisted tape, a heat exchange system is designed and established. Deionized water and three mass concentration nanofluids (ω = 0.1 wt%, 0.3 wt%, and 0.5 wt%) are applied as the heat-transfer mediums flowing through three different rotation angle (α = 0 , 30 , and 60 ) triangular tubes, respectively.Thermal efficiency index (η) and entropy generation (S) are used to characterize the performance of the heat exchange system. It is proved that the increase of nanoparticles can not only effectively promote the heat transfer effect but also augment the pressure loss. Nusselt number of nanofluids is increased by 20.2% on average, whereas the flow resistance coefficient is increased by 10.1% on average. Based on the thermal efficiency index, the data demonstrate that ω = 0.5 wt% nanofluids in the triangular tube at α = 0 can make the most effective use of energy, whose value could reach 1.32 at most. Exergy efficiency of nanofluids in the heat exchange system can be evidently heightened under the same pumping power and flow rate. Entropy production of 0.1 wt% nanofluids is the smallest. K E Y W O R D Snanofluids, forced convection, exergy efficiency, entropy generation

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“…Nanofluids were first prepared by Choi in 1995 [1]. Since then, they have been considered by many researchers in engineering and heat transfer applications owing to their improving heat transfer properties [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. For the stable distribution of nanoparticles in the closed chambers, energy transport can be essentially improved compared to the absence of nanoparticles (i.e., base fluid only).…”

Section: Introductionmentioning

confidence: 99%

Free Convection of Hybrid Nanofluids in a C-Shaped Chamber under Variable Heat Flux and Magnetic Field: Simulation, Sensitivity Analysis, and Artificial Neural Networks

et al. 2019

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In the present investigation, the free convection energy transport was studied in a C-shaped tilted chamber with the inclination angle α that was filled with the MWCNT (MultiWall Carbon Nanotubes)-Fe3O4-H2O hybrid nanofluid and it is affected by the magnetic field and thermal flux. The control equations were numerically resolved by the finite element method (FEM). Then, using the artificial neural network (ANN) combined with the particles swarm optimization algorithm (PSO), the Nusselt number was predicted, followed by investigating the effect of parameters including the Rayleigh number (Ra), the Hartmann number (Ha), the nanoparticles concentration (φ), the inclination angle of the chamber (α), and the aspect ratio (AR) on the heat transfer rate. The results showed the high accuracy of the ANN optimized by the PSO algorithm in the prediction of the Nusselt number such that the mean squared error in the ANN model is 0.35, while in the ANN model, it was optimized using the PSO algorithm (ANN-PSO) is 0.22, suggesting the higher accuracy of the latter. It was also found that, among the studied parameters with an effect on the heat transfer rate, the Rayleigh number and aspect ratio have the greatest impact on the thermal transmission intensification. The obtained data also showed that a growth of the Hartmann number illustrates a reduction of the Nusselt number for high Rayleigh numbers and the heat transfer rate is almost constant for low Rayleigh number values.

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Natural convection of a magnetizable hybrid nanofluid inside a porous enclosure subjected to two variable magnetic fields

Cited by 132 publications

References 59 publications

Keller-box analysis of inclination flow of magnetized Williamson nanofluid

Keller-box analysis of inclination flow of magnetized Williamson nanofluid

Influence of rotation angle of a triangular tube with a built‐in twisted tape on the thermal‐exergy efficiency and entropy generation of nanofluids in the heat exchange system

Free Convection of Hybrid Nanofluids in a C-Shaped Chamber under Variable Heat Flux and Magnetic Field: Simulation, Sensitivity Analysis, and Artificial Neural Networks

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