Experimental study of thermal conductivity, heat transfer and friction factor of Al 2 O 3 based nanofluid

Kumar, Nishant; Sonawane, Shriram S.; Sonawane, Shirish H.

doi:10.1016/j.icheatmasstransfer.2017.10.001

Cited by 149 publications

(37 citation statements)

References 25 publications

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“…Furthermore, graphene oxide is hydrophilic and has a superior dispersion stability and higher thermal conductivity [29,30]. Nano-Al 2 O 3 is a common metal oxide material and is widely used in various nanofluids because the Al 2 O 3 nanofluid has lower viscosity and better rheological behavior as compared to other particles such as copper oxide [31,32]. It offers obvious advantages such as higher thermal conductivity, cheap, safe, good stability in water [33][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Gao

Yang

et al. 2021

THERM SCI

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The specific heat of aqueous graphene+Al 2 O 3 (1:1) hybrid nanofluid was measured using the cooling method. The influence of nanoparticle mass fraction and temperature on the specific heat capacity of the hybrid nanofluids was investigated, the specific heat of the hybrid nanofluid was compared with that of aqueous graphene oxide nanofluid and Al 2 O 3 nanofluid. A fitted formula of the specific heat of the hybrid nanofluid was proposed based on the experimental data. It indicates that the specific heat reduction ratio increases with increase of nanoparticle fraction; the maximum reduction ratio is 7% at 0.15wt% at 20 °C. The mass fraction of nanoparticle affects the specific heat of hybrid nanofluid more significantly at lower temperature. Temperature impacts the specific heat more distinctly than the nanoparticle fraction. The specific heat increases with temperature and the maximum specific heat reduction ratio of the hybrid nanofluid diminishes from 7 % at 20 °C to 2% at 70 °C at the mass fraction of 0.05%.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Gao

Yang

et al. 2021

THERM SCI

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“…Such an increase in TC enhancement can be related to the increased number of collisions due to Brownian motion between nanoparticles leading to enhanced TC [29]. Reports on the effect of temperature on TC of nanofluids are available [30,31]. Yet, a common conclusive trend for the effect of temperature on the TC 4Thermal conductivty enhancement = k nf − k bf k bf × 100 enhancement has not reached.…”

Section: Resultsmentioning

confidence: 99%

Effect of particle concentration and temperature on the thermo-physical properties of ethylene glycol–water mixture based boron nitride nanofluids

et al. 2020

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Present article focusses on the thermal and rheological characteristics of ethylene glycol-water mixture (volume = 60/40) based boron nitride (h-BN) nanofluids measured at different volume concentrations (0.5-2 vol% h-BN) between temperatures 30-60 °C. X-ray diffraction and TEM analysis have confirmed the hexagonal structure of h-BN nanoparticles and the size range of the nanoparticles is within 90-170 nm. To optimize the ultrasonication time, the thermal conductivity of h-BN nanofluids has been monitored after each 30 min of sonication until a maximum thermal conductivity increase is achieved. The thermal conductivity of h-BN nanofluids shows an increasing trend with respect to particle concentration. Also, the thermal conductivity enhancement exhibits a temperature independent nature. The viscosity studies carried out over a shear rate of 0.612-122 s −1 revealed an increasing trend with the increasing concentration of h-BN loading. For all the volume concentrations, at lower shear rates, the viscosity initially decreased, displaying a non-Newtonian nature, and with a further increase in shear rate, the viscosity stays constant exhibiting a Newtonian nature. Based on the experimental outcomes, a correlation is introduced. The correlation showed a strong agreement with the current results, with an R 2 value of 0.99.

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“…The SPEA2 is used to generate the Pareto optimal front of the objective functions in which a trade-off ability is provided. This SPEA2 algorithm is shown to possess some preference on NSGA-II in the microchannel heat sink optimization [20]. A code is developed along with SPEA2 toolbox in MATLAB (R2015) to produce denser Pareto Optimal front and hence more choices will be offered to the designers to best suit their design requirements.…”

Section: Optimization Proceduresmentioning

confidence: 99%

Ammonia Base Nanofluid as a Coolant for Electronic Chips

Adham¹,

Tjprc²

2019

IJMPERD

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In this paper, the cooling performance of a refrigerant base nanofluid to cool down electronic chips was reported. An alternative base fluid (NH 3) is used to substitute the common known base fluid (H 2 O) to enhance the cooling capabilities of the nanofluid. Al 2 O 3-NH 3 with three different volume fractions 1%, 3% and 5%) was examined. To analyze the problem, two objective functions namely, the thermal resistance and pumping power, and the Strength Parteo Evolutionary Algorithm (SPEA2) was used to optimize the thermal and hydrodynamic performances of the microchannel heat sink. The ammonia-base nanofluid (Al 2 O 3-NH 3) outperformed other coolants (SiC-H 2 O, TiO 2-H 2 O, H 2 O and Al 2 O 3-H 2 O) in pumping power demand (0.144, 0.702, 0.724, 0.94 and 1.015 W for Al 2 O 3-NH 3 , SiC-H 2 O, TiO 2-H 2 O, H 2 O and Al 2 O 3-H 2 O, respectively) Under the same conditions. Furthermore, lightest microchannel heat sink was needed when the ammonia base nanofluid is employed. Finally, the key results from this study open the door for the possibility of considering this coolant for excessive heat producer electronic chips.

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Experimental study of thermal conductivity, heat transfer and friction factor of Al 2 O 3 based nanofluid

Cited by 149 publications

References 25 publications

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Experimental investigation of specific heat of aqueous graphene oxide Al2O3 hybrid nanofluid

Effect of particle concentration and temperature on the thermo-physical properties of ethylene glycol–water mixture based boron nitride nanofluids

Ammonia Base Nanofluid as a Coolant for Electronic Chips

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