An experimental investigation of forced convective cooling performance of a microchannel heat sink with Al2O3/water nanofluid

Ho, Ching-Jenq; Wei, Longting; Li, Z. W.

doi:10.1016/j.applthermaleng.2009.07.003

Cited by 353 publications

(115 citation statements)

References 21 publications

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“…For high Reynolds number range (Fig.4.6), the nanofluid flow yields significant effect on friction factor. Fig.4.7 shows a comparison of the predicted friction factor from the present numerical simulation against previous experimental studies [12,30]. A very good agreement was obtained for φ = 0% (pure) and φ = 1% alumina, which shows that the friction factor decreases with the increase of Reynolds number.…”

Section: Friction Factorsupporting

confidence: 54%

Heat Transfer Enhancement in Microchannel Heat Sink Using Nanofluids

Gunnasegaran¹,

Shuaib²,

Mohammed³

et al. 2012

Fluid Dynamics, Computational Modeling and Applications

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Section: Friction Factorsupporting

confidence: 54%

Heat Transfer Enhancement in Microchannel Heat Sink Using Nanofluids

Gunnasegaran¹,

Shuaib²,

Mohammed³

et al. 2012

Fluid Dynamics, Computational Modeling and Applications

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“…Nevertheless, some research indicates that the nanofluid increases the pressure drop of pipelines [2,11], viscosity, and friction factor [7]. It also increases pumping energy consumption [7,9].…”

Section: Introductionmentioning

confidence: 99%

“…The nanofluid in these studies consists mainly of CuO/water [1,2], CuO/ethylene glycol [3], Al 2 O 3 /ethylene glycol [3,4], Al 2 O 3 /water [4][5][6][7][8][9], Al 2 O 3 /ethylene glycol/water [10], TiO 2 /water [8,11], and Ag/methanol nanofluid [12]. Moreover, heat exchangers used in these studies include the microchannel heat sink (MCHS) [1,7,10], miniature-plate heat exchanger [2], plate heat exchangers [3], double-tube flow heat exchanger [3,11], multichannel heat exchanger [5], shell and tube heat exchanger [8], finned tube heat exchanger [9,13], and the thermosyphon heat exchanger [12]. Results of these studies demonstrate that nanofluid could improve the performance of heat exchangers.…”

Section: Introductionmentioning

confidence: 99%

Estimation and experimental study of the density and specific heat for alumina nanofluid

Teng

Hung

2012

Journal of Experimental Nanoscience

111

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This study analyses the density and specific heat of alumina (Al 2 O 3 )/water nanofluid to determine the feasibility of relative calculations. The Al 2 O 3 /water nanofluid was produced by the directsynthesis method with cationic chitosan dispersant served as the experimental sample, and was dispersed into three concentrations of 0.5, 1.0 and 1.5 wt.%. This experiment measures the density and specific heat of nanofluid with weight fractions and sample temperatures with a liquid density meter and a differential scanning calorimeter (DSC). To assess the availability of these equations, it then compares the experimental data with the calculated results according to the concepts of mixing theory and statistical mechanism. Comparing the calculated results of density and specific heat with the experimental data, the deviation of density fell within the range of À1.50% to 0.06% and 0.25% to 2.53%, whereas the deviation of specific heat fell within the range of À0.07% to 5.88% and À0.35% to 4.94%, respectively. Calculated results of density and specific heat show a trend of greater deviation with an increased concentration of nanofluid. However, two kinds of density and specific heat of the calculated results fall within an acceptable deviation range in this study.

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“…The use of nanofluids in microchannel heat exchangers has been recommended as a potentially feasible solution for cooling microelectronic devices. There are several experimental and numerical reports that concentrate on understanding the enhanced heat transfer characteristics and pressure drop of nanofluids in parallel microchannel systems [26][27][28][29][30][31][32]. It has been reported that enhanced heat transfer can be achieved with the use of nanofluid in microchannels but at the cost of increased pressure drop.…”

Section: Introductionmentioning

confidence: 99%

Particle and thermohydraulic maldistribution of nanofluids in parallel microchannel systems

Maganti

Dhar

Sundararajan

et al. 2016

Microfluid Nanofluid

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Fluidic maldistribution in microscale multichannel devices requires deep understanding to achieve optimized flow and heat transfer characteristics. A thorough computational study has been performed to understand the concentration and thermo-hydraulic maldistribution of nanofluids in parallel microchannel systems using an Eulerian-Lagrangian twin phase model.The study reveals that nanofluids cannot be treated as homogeneous single phase fluids in such complex flow domains and effective property models fail drastically to predict the performance parameters. To comprehend the distribution of the particulate phase, a novel concentration maldistribution factor has been proposed. It has been observed that distribution of particles need not essentially follow the flow pattern, leading to higher thermal performance than expected from homogeneous models. Particle maldistribution has been conclusively shown to be due to various migration and diffusive phenomena like Stokesian drag, Brownian motion, thermophoretic drift, etc. The implications of particle distribution on the cooling performance have been illustrated and smart fluid effects (reduced magnitude of maximum temperature) have been observed and a mathematical model to predict the enhanced cooling performance in such flow geometries has been proposed. The article presents lucidly the effectiveness of discrete phase approach in modelling nanofluid thermo-hydraulics and sheds insight on behavior of nanofluids in complex flow domains.2

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An experimental investigation of forced convective cooling performance of a microchannel heat sink with Al2O3/water nanofluid

Cited by 353 publications

References 21 publications

Heat Transfer Enhancement in Microchannel Heat Sink Using Nanofluids

Heat Transfer Enhancement in Microchannel Heat Sink Using Nanofluids

Estimation and experimental study of the density and specific heat for alumina nanofluid

Particle and thermohydraulic maldistribution of nanofluids in parallel microchannel systems

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