Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: An experimental and theoretical investigation

被引:280
作者
Asadi, Amin [1 ]
Asadi, Meisam [2 ]
Rezaniakolaei, Alireza [1 ]
Rosendahl, Lasse Aistrup [1 ]
Afrand, Masoud [3 ]
Wongwises, Somchai [4 ]
机构
[1] Aalborg Univ, Dept Energy Technol, Pontoppidanstraede 111, DK-9220 Aalborg, Denmark
[2] Islamic Azad Univ, Semnan Branch, Young Researchers & Elite Club, Semnan, Iran
[3] Islamic Azad Univ, Najafabad Branch, Dept Mech Engn, Najafabad, Iran
[4] King Mongkuts Univ Technol Thonburi, Dept Mech Engn, Fluid Mech Thermal Engn & Multiphase Flow Res Lab, Fac Engn, Bangkok, Thailand
关键词
Experimental study; Heat transfer efficiency; Thermophysical properties; Convection heat transfer coefficient; MWCNT and Al2O3 nanoparticles; WATER-BASED NANOFLUIDS; SOLID VOLUME FRACTION; RHEOLOGICAL BEHAVIOR; DYNAMIC VISCOSITY; ENGINE OIL; ETHYLENE-GLYCOL; CONDUCTIVITY MEASUREMENTS; NANO-LUBRICANT; PRESSURE-DROP; TEMPERATURE;
D O I
10.1016/j.ijheatmasstransfer.2017.10.036
中图分类号
O414.1 [热力学];
学科分类号
摘要
The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25-50 degrees C) and solid concentrations (0.125%-1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and solid concentrations. The dynamic viscosity showed increasing trend as the solid concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 degrees C in all the studied solid concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and solid concentration increased. The maximum enhancement was at the temperature of 50 degrees C and solid concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nano fluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied solid concentrations and temperatures for both the internal laminar and turbulent flow regimes except the solid concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:474 / 486
页数:13
相关论文
共 69 条
[1]  
Aberoumand S., ALEXANDRIA ENG J
[2]   Experimental study on synthesis, stability, thermal conductivity and viscosity of Cu-engine oil nanofluid [J].
Aberoumand, Sadegh ;
Jafarimoghaddam, Amin .
JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2017, 71 :315-322
[3]   Experimental study on the rheological behavior of silver-heat transfer oil nanofluid and suggesting two empirical based correlations for thermal conductivity and viscosity of oil based nanofluids [J].
Aberoumand, Sadegh ;
Jafarimoghaddam, Amin ;
Moravej, Mojtaba ;
Aberoumand, Hossein ;
Javaherdeh, Kourosh .
APPLIED THERMAL ENGINEERING, 2016, 101 :362-372
[4]  
Afrand M., 2016, PHYSICA E
[5]   How the dispersion of magnesium oxide nanoparticles effects on the viscosity of water-ethylene glycol mixture: Experimental evaluation and correlation development [J].
Afrand, Masoud ;
Abedini, Ehsan ;
Teimouri, Hamid .
PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES, 2017, 87 :273-280
[6]   Experimental study on thermal conductivity of ethylene glycol containing hybrid nano-additives and development of a new correlation [J].
Afrand, Masoud .
APPLIED THERMAL ENGINEERING, 2017, 110 :1111-1119
[7]   Prediction of dynamic viscosity of a hybrid nano-lubricant by an optimal artificial neural network [J].
Afrand, Masoud ;
Najafabadi, Karim Nazari ;
Sina, Nima ;
Safaei, Mohammad Reza ;
Kherbeet, A. Sh. ;
Wongwises, Somchai ;
Dahari, Mahidzal .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2016, 76 :209-214
[8]   Experimental study on thermal conductivity of water-based Fe3O4 nanofluid: Development of a new correlation and modeled by artificial neural network [J].
Afrand, Masoud ;
Toghraie, Davood ;
Sina, Nima .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2016, 75 :262-269
[9]   Effects of temperature and solid volume fraction on viscosity of SiO2-MWCNTs/SAE40 hybrid nanofluid as a coolant and lubricant in heat engines [J].
Afrand, Masoud ;
Najafabadi, Karim Nazari ;
Akbari, Mohammad .
APPLIED THERMAL ENGINEERING, 2016, 102 :45-54
[10]   Effects of temperature and nanoparticles concentration on rheological behavior of Fe3O4-Ag/EG hybrid nanofluid: An experimental study [J].
Afrand, Masoud ;
Toghraie, Davood ;
Ruhani, Behrooz .
EXPERIMENTAL THERMAL AND FLUID SCIENCE, 2016, 77 :38-44