Statistical and experimental investigation on flow boiling heat transfer to carbon nanotube-therminol nanofluid

M.M. Sarafraz and A. Taghavi Khalil Abad

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: In the present work, statistical, regression and experimental studies were conducted to assess the plausible application of an oil-based carbon nanotube nanofluid for high-temperature applications such as solar thermal receivers. Nanofluid was prepared at wt. %=0.1 and wt. %=3 using two-step procedure and was stabilized using ultrasonic together with the addition of surfactant. As a criterion for the stability of nanofluid, the zeta potential value was measured. Results showed that during flow boiling heat transfer, two distinguished heat transfer regions were identified namely forced convective and nucleate boiling heat transfer domains. Likewise, the presence of carbon nanotube within the oil increased the convective heat transfer coefficient (HTC) together with a significant increase in the nucleate boiling HTC. An increase in the heat and mass fluxes were found to enhance the flow boiling HTC both in convective and nucleate boiling regions. The sub-cooling temperature was also found to increase the HTC in convective and nucleate boiling regions due to the enhancement in thermo-physical properties of nanofluid. With an increase in the mass flux, the pressure drop of the system was increased. Heat flux was also enhanced the pressure drop within the system due to the increase in the rate of bubble generation and vapor blanket formation. Likewise, with an increase in the mass concentration of nanoparticles, higher pressure drop was registered in convective and nucleate boiling regions. Thermal performance index of the system showed that carbon nanotube can increase the thermo-hydraulic performance of the system by 56% in comparison with pure therminol 66. Equations were developed to predict the ONB points at various temperatures with A. A. D.% of ±0.9% to ±4.2% obtained with non-linear regression.

Keywords: Flow boiling; Therminol 66; Carbon nanotube; High temperature; Thermal performance; Nanofluid (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:536:y:2019:i:c:s0378437119314360

DOI: 10.1016/j.physa.2019.122505

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