Thermal Conductivity Enhancement of Nanofluids by Brownian Motion

Chon, Chan Hee; Kihm, Kenneth D.

doi:10.1115/1.2033316

Cited by 149 publications

(67 citation statements)

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“…On the whole, considering the effects of particle size and Brownian motion essentially, it can be observed that the prediction by present model shows satisfactory agreement with the experimental result by Ho et al [19]. [26] As shown in Fig. 5, the ratio of the effective thermal conductivity to the thermal conductivity of the base fluid increases with temperature.…”

Section: Verification Of the Improved Modelsupporting

confidence: 78%

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An improved model for thermal conductivity of nanofluids with effects of particle size and Brownian motion

Dong

Chen

2017

J Therm Anal Calorim

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Based on the generalized distribution of the temperature field, an improved model for the thermal conductivity of nanofluid has been derived. The impact of particle size and Brownian motion is modeled through the effective volume fraction, based on particle radius. In the special case, the generalized relationship reduces to the classical Maxwell model. On the other hand, the effect of Brownian movement is equivalent to increasing the effective volume fraction of nanoparticles. The effective radius of the nanoparticle is proposed, where the switching time and the equivalent volume fraction depend on the Brownian velocity of the nanoparticles. Considering the above two effects, an effective model is obtained. Comparison of thermal conductivity for Al 2 O 3 -water nanofluid is made between the present model and several theoretical models. Theoretical predictions on CuO-water nanofluid, ZnOTiO 2 hybrid nanofluids and MWCNTs nanofluid are also verified against experimental data.

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Section: Verification Of the Improved Modelsupporting

confidence: 78%

“…28 with the experimental data as all the variables are known except b. For Al 2 O 3 -water nanofluids at room temperature, the index b ¼ 0:92, which is extracted from the experimental data [26], as shown in Fig. 3.…”

Section: Verification Of the Improved Modelmentioning

confidence: 99%

An improved model for thermal conductivity of nanofluids with effects of particle size and Brownian motion

Dong

Chen

2017

J Therm Anal Calorim

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“…It was investigated the effect of the particle size such as Al2Cu and Ag2Al [14] particle dispersed into water and EG, Al2O3/water and Al2O3/eg [22] particle size vary from 30-120nm for Al2Cu and Ag2Al,8 and 282 nm for Al2O3. They [23,24] measured the thermal conductivity of Al2O3 nanofluid and compare with [25][26][27] which showed that there was not much difference in the thermal conductivity of the particle size 80,38.4 and 47nm.…”

Section: Particle Sizementioning

confidence: 99%

Characteristic analysis of De-Ionised water and Ethylene Glycol based Aluminium Oxide Nanofluid

Gopalsmy¹,

Karunakaran²

2017

JAC

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“…Pak and Cho [28]; Lee [19]; Murshed [25]; Das et al [7]; Chon [5], [6]; Mintsa [24]; and Beck [3], Avsec [1], Duangthongsuk [8], [9]; Sundar, Naik, Sharma, Singh, and Siva Reddy (2011), and Hong, Kim [14]; have all conducted experiments for the determination of thermal conductivity of nanofluids. Thermal conductivity depends primarily on the choice of material, concentration, temperature, and particle size.…”

Section: Properties Evaluationmentioning

confidence: 99%

“…Consequently, values evaluated with the equation are lower than those obtained from experiment are. Chon [5], [6]; proposed a semi empirical correlation for the determination of the thermal conductivity of an Al2O3 nanofluid considering Brownian motion. Mintsa [24]; conducted experiments to determine the thermal conductivity of aluminium oxide and copper oxide nanofluids in the temperature range of 20-50 oC and up to 18% volume concentration.…”

Section: Thermal Conductivity: Experimental Observationmentioning

confidence: 99%

Nanofluid properties for forced convection heat transfer :a review

Darabi

Naeimi²,

Mohammadiun

et al. 2015

Int. J. Sci. World

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The thermal conductivity of nanofluids depends on various parameters, such as concentration, temperature, particle size, pH, shape, material, and possibly on the manufacturing process of the nanoparticles. Data on the viscosity of nanofluids, available in the literature, are very limited. Theoretical models for the determination of the thermal conductivity and viscosity of nanofluids have been pursued. Experiments with nanofluids indicate that they higher heat transfer coefficients than the base fluid. No significant increase in a pressure drop is reported with nanofluids, compared with values with the base fluid. However, the stability of nanofluids with regard to settlement/agglomeration, especially at higher concentrations, is still a problem for practical applications.

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Thermal Conductivity Enhancement of Nanofluids by Brownian Motion

Cited by 149 publications

References 0 publications

An improved model for thermal conductivity of nanofluids with effects of particle size and Brownian motion

An improved model for thermal conductivity of nanofluids with effects of particle size and Brownian motion

Characteristic analysis of De-Ionised water and Ethylene Glycol based Aluminium Oxide Nanofluid

Nanofluid properties for forced convection heat transfer :a review

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