Experimental investigation of the effective electrical conductivity of aluminum oxide nanofluids

Ganguly, Suvankar; Sikdar, Sudipta; Basu, Somnath

doi:10.1016/j.powtec.2009.08.010

Cited by 194 publications

(131 citation statements)

References 28 publications

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“…For all nanofluids, a linear increase in electrical conductivity with increasing concentrations was observed. They also confirmed an incompatibility of the Maxwell model with experimental data, as other researchers [57][58][59] previously indicated. Mehrali et al 59 presented the results of investigation of the electrical conductivity of nitrogen-doped graphene nanofluids (NDG).…”

Section: Introductionsupporting

confidence: 85%

Dielectric Properties of Boron Nitride-Ethylene Glycol (BN-EG) Nanofluids

Fal

Cholewa

Gizowska

et al. 2016

Journal of Elec Materi

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This paper presents the results of experimental investigation of the dielectric properties of ethylene glycol (EG) with various load of boron nitride (BN) nanoparticles. The nanofuids were prepared by using a two-step method on the basis of commercially available BN nanoparticles. The measurements were carried out using the Concept 80 System (NOVOCONTROL Technologies GmbH & Co. KG, Montabaur, Germany) in a frequency range from 10 Hz to 10 MHz and temperatures from 278.15 K to 328.15 K. The frequency-dependent real (e 0 ) and imaginary (e 00 ) parts of the complex permittivity (e Ã ) and the alternating current (AC) conductivity are presented. Also, the effect of temperature and mass concentrations on the dielectric properties of BN-EG nanofluids are demonstrated. The results show that the most significant increase can be achieved for 20 wt.% of BN nanoparticles at 283.15 K and 288.15 K, that is eleven times larger than in the case of pure EG.

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Section: Introductionsupporting

confidence: 85%

Dielectric Properties of Boron Nitride-Ethylene Glycol (BN-EG) Nanofluids

Fal

Cholewa

Gizowska

et al. 2016

Journal of Elec Materi

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“…Other researchers have shown that the thermal properties of nanofluid are also dependent on temperature and the particle size, the use of dispersant and type of dispersion assist mechanism used for the preparation [14][15][16]. Research works have also been carried out on the electrical conductivity of nanofluids [17][18][19], rheology and viscosity of nanofluids [20,21], and convective heat transfer using nanofluids [12,22]. Mostly investigated thermophysical properties of nanofluids are the thermal conductivity and the convective heat transfer coefficient.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and model development for effective viscosity of Al2O3–glycerol nanofluids by using dimensional analysis and GMDH-NN methods

Sharifpur

Adio

Meyer

2015

International Communications in Heat and Mass Transfer

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Nanofluids are new heat transfer fluids which aimed to improve the poor heat removal efficiency of conventional heat transfer fluids. The dispersion of nanoparticles into traditional heat transfer fluids such as ethylene glycol, glycerol, engine oil, gear oil and water has become widely applicable in engineering systems because of their superior heat transfer properties. However, viscosity increase due to nanoparticle dispersion is an issue which needs attention and proper experimental investigation. Therefore, in this study, it is experimentally optimized the two-step preparation procedure for Al 2 O 3 -glycerol nanofluids consisting of 19, 139 and 160 nm particle sizes, and then studied the effective viscosity between 20-70 o C for the range of 0 to 5% volume fractions. The nanofluids' viscosity showed a characteristic increase as volume fraction increases; decrease as the working temperature increases; and the smallest nanoparticles showed the highest shear resistance. Based on the available experimental data, an empirical correlation has been offered using dimensional analysis. Thereafter, a hybrid neural network based on the group method of data handling (GMDH-NN) has been employed for modeling the effective viscosity of Al 2 O 3 -glycerol nanofluid. The correlations obtained from both modeling procedures showed higher accuracy in the prediction of the present experimental data when compared to most cited models from the open literature.

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“…Previous studies have suggested various models [63][64][65][66] for the effective electrical conductivity of nanofluid, but none of them always provides good predictions. Therefore, in this paper, based on the literature review [59][60][61][62][67][68][69], we consider σ n f = 4.0 S/m (a constant).…”

Section: Lorentz Forcementioning

confidence: 99%

Effects of Anisotropic Thermal Conductivity and Lorentz Force on the Flow and Heat Transfer of a Ferro-Nanofluid in a Magnetic Field

Yan

Massoudi

et al. 2017

Energies

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Abstract:In this paper, we study the effects of the Lorentz force and the induced anisotropic thermal conductivity due to a magnetic field on the flow and the heat transfer of a ferro-nanofluid. The ferro-nanofluid is modeled as a single-phase fluid, where the viscosity depends on the concentration of nanoparticles; the thermal conductivity shows anisotropy due to the presence of the nanoparticles and the external magnetic field. The anisotropic thermal conductivity tensor, which depends on the angle of the applied magnetic field, is suggested considering the principle of material frame indifference according to Continuum Mechanics. We study two benchmark problems: the heat conduction between two concentric cylinders as well as the unsteady flow and heat transfer in a rectangular channel with three heated inner cylinders. The governing equations are made dimensionless, and the flow and the heat transfer characteristics of the ferro-nanofluid with different angles of the magnetic field, Hartmann number, Reynolds number and nanoparticles concentration are investigated systematically. The results indicate that the temperature field is strongly influenced by the anisotropic behavior of the nanofluids. In addition, the magnetic field may enhance or deteriorate the heat transfer performance (i.e., the time-spatially averaged Nusselt number) in the rectangular channel depending on the situations.

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Experimental investigation of the effective electrical conductivity of aluminum oxide nanofluids

Cited by 194 publications

References 28 publications

Dielectric Properties of Boron Nitride-Ethylene Glycol (BN-EG) Nanofluids

Dielectric Properties of Boron Nitride-Ethylene Glycol (BN-EG) Nanofluids

Experimental investigation and model development for effective viscosity of Al2O3–glycerol nanofluids by using dimensional analysis and GMDH-NN methods

Effects of Anisotropic Thermal Conductivity and Lorentz Force on the Flow and Heat Transfer of a Ferro-Nanofluid in a Magnetic Field

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