Effect of MWCNT–Fe3O4/water hybrid nanofluid on the thermal performance of ribbed channel with apart sections of heating and cooling

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

doi:10.1007/s10973-018-7483-5

Cited by 74 publications

(21 citation statements)

References 59 publications

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“…Given the modelling problem, boundary conditions for Equations (5)- (8) are written as follows: The following equations are used to remove the dimension of considered control equations:…”

Section: Governing Equationsmentioning

confidence: 99%

“…Additionally, the effective viscosity and thermal conductivity of hybrid nanofluid (MWCNT-Fe 3 O 4 /water) have been measured using experimental data shown in Table 3 [42]. After removing the dimension of Equations (5)- (8), the final form of these equations are obtained as follows:…”

Section: Properties Mono Nanoliquid Mwcnt-fe 3 O 4 /Watermentioning

confidence: 99%

“…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%

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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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“…Given the modelling problem, boundary conditions for Equations (5)- (8) are written as follows: The following equations are used to remove the dimension of considered control equations:…”

Section: Governing Equationsmentioning

confidence: 99%

Section: Properties Mono Nanoliquid Mwcnt-fe 3 O 4 /Watermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…Selimefendigil et al conducted detailed studies on forced convection of magnetofluids: numerical simulation in a bifurcated channel under variable magnetic field, 34 numerical simulation of the corrugated plate under inclined magnetic field, 35 and numerical simulation of branch channels in a uniform magnetic field 36 . Mohebbi et al explored the MWCNT‐Fe 3 O 4 /water hybrid nanofluids in different channels (a ribbed channel, 37 a T‐shaped channel 38 ) by LBM, and analyzed the thermo‐hydraulic properties of the nanofluids under various working conditions. Naphon et al researched the nanofluids heat exchange enhancement mechanism in the micro‐channel heat sink 39 and micro‐fin tubes 40 by experimental research and numerical simulation, and made corresponding progress.…”

Section: Introductionmentioning

confidence: 99%

Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Fan

Tang

et al. 2020

Asia-Pacific J Chem Eng

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Experimental investigations were conducted to explore the thermal and exergy efficiency of Fe 3 O 4-H 2 O nanofluids in a corrugated tube. Some influences of the twisted turbulator, horizontal magnetic fields (B = 6mT, 12mT, and 18mT), particle mass fractions (ω = 0.1, 0.3, and 0.5 wt%) as well as Re numbers (800-12,000) were analyzed. The experimental results exhibited that the heat transfer capacity of nanofluids intensifies with the increment of mass fraction but weakens with the increase of magnetic flux density. For the same external conditions, the heat transfer capability of the corrugated tube with an inserted twisted turbulator is obviously stronger than that without the turbulator. The resistance coefficient can be augmented by the increasing mass fraction and horizontal magnetic field. In addition, the thermal efficiency R3 and the exergy efficiency were adopted to estimate the comprehensive performance of each working condition. It could be found that the increased mass fraction and reduced magnetic flux density cause an increasing trend on the thermal efficiency. Also, it was obtained that the exergy efficiency of working fluids is intensified under identical pumping power.

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“…The results exposed the fact that the base fluid displays Newtonian behavior and the nanoparticle samples show pseudoplastic rheological behavior. Mohebbi et al investigated the effect of MWCNT Fe 3 O 4 /water nanofluid flow. The authors proved that the use of blocks on the channel walls can increase heat transfer.…”

Section: Introductionmentioning

confidence: 99%

Peristaltically induced flow of nanomaterial through uniform porous space and gravitational aspects

et al. 2019

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Magneto peristaltic flows of nanofluids play a key role in magnetic drug transport systems. Therefore, peristalsis of a nanofluid through a uniform porous medium under the influence of a uniform magnetic force is studied here.Ohmic heating and Hall aspects are incorporated in the analysis. Three distinct types of nanoparticles (ie, silver, alumina, and copper) have been used for theoretical analysis. A large wavelength and a small Reynolds number scheme are adopted in mathematical modeling. The dimensionless nonlinear system is solved using the well-known perturbation method, and physical analysis is done via graphs. A comparison of different nanoparticles is also presented. It is noticed that an increase in the Hall effects nullifies the variations, which are due to an increment in the Hartman number. The temperature of the nanofluid can be reduced by increasing the permeability of the porous medium. K E Y W O R D SHall effects, magnetohydrodynamics, nanofluids, porous medium | INTRODUCTIONThe analysis of nanofluids has attracted the attention of researchers from all over the world over the past decade. Nanofluids are prepared by suspending nanometer-sized metallic particles in conventional heat transfer fluids. This novel technique has been developed by Choi. 1 The idea of a nanofluid originated when conventional fluids were proving to be less helpful for usage in different mechanical processes because of their lesser thermal conductivity. To amplify the use of conventional fluids, their thermal conductivity is improved via the use of metals, as metals (like gold, silver, and copper) naturally have higher thermal conductivities. Carbides, metal oxides, metals, and carbon nanotubes are commonly used as nanoparticles. Their size varies in the range from 1 to 100 nm. The base fluids are oil, ethylene glycol, and water. Nanofluids have an ability to magnify the thermophysical aspects include thermal diffusively, viscosity, thermal conductivity, and convective heat transport coefficients. Such properties are the chief reason behind the diverse applications of nanofluids in domestic and industrial cooling, automobile and IT industry, modern drug delivery systems, nuclear reactors, microscale fluidic applications, extraction of geothermal power, cryopreservatives, and optics and nanocryosurgery. Such wide applications of nanofluids have persuaded motivated researchers from all over the globe to investigate different aspects of nanofluids. [2][3][4][5][6][7][8][9][10] Peristalsis is an involuntary series of muscle contractions and relaxation that takes place within the body of living beings to move biological fluids (eg, chyme, blood vessels, bile, urine, male, and reproductive cells) towards different processing units. Earthworms employ a similar treatment to drive their locomotion. Subject to its utility, the principle of peristalsis is being implemented by engineers in designing many industrial appliances, for example, peristaltic pumps. Such pumps are particularly useful in driving sensitive/corrosive and reactive ...

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Effect of MWCNT–Fe3O4/water hybrid nanofluid on the thermal performance of ribbed channel with apart sections of heating and cooling

Cited by 74 publications

References 59 publications

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

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

Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Peristaltically induced flow of nanomaterial through uniform porous space and gravitational aspects

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Effect of MWCNT–Fe3O4/water hybrid nanofluid on the thermal performance of ribbed channel with apart sections of heating and cooling

Cited by 74 publications

References 59 publications

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

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

Thermal and exergy efficiency of magnetohydrodynamic Fe3O4‐H2O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field

Peristaltically induced flow of nanomaterial through uniform porous space and gravitational aspects

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Product

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Thermal and exergy efficiency of magnetohydrodynamic Fe₃O₄‐H₂O nanofluids flowing through a built‐in twisted turbulator corrugated tube under magnetic field