Measurement of thermal conductivity and viscosity of ZnO-SiO2 hybrid nanofluids

被引:14
|
作者
Yalcin, Gokberk [1 ]
Oztuna, Semiha [1 ]
Dalkilic, Ahmet Selim [2 ]
Wongwises, Somchai [3 ,4 ]
机构
[1] Trakya Univ, Fac Engn, Dept Mech Engn, Energy Div, Edirne, Turkey
[2] Yildiz Tech Univ, Fac Mech Engn, Dept Mech Engn, Heat & Thermodynam Div, TR-34349 Istanbul, Turkey
[3] King Mongkuts Univ Technol Thonburi KMUTT, Fac Engn, Dept Mech Engn, Fluid Mech Thermal Engn & Multiphase Flow Res Lab, Bangkok 10140, Thailand
[4] Natl Sci & Technol Dev Agcy NSTDA, Pathum Thani 12120, Thailand
关键词
Hybrid nanofluids; ZnO; SiO2; Viscosity; Thermal conductivity; Stability; HEAT-TRANSFER APPLICATIONS; DYNAMIC VISCOSITY; ETHYLENE-GLYCOL; RHEOLOGICAL BEHAVIOR; TRANSFER ENHANCEMENT; AQUEOUS NANOFLUIDS; OXIDE NANOFLUIDS; SIO2; AL2O3; STABILITY;
D O I
10.1007/s10973-021-11076-8
中图分类号
O414.1 [热力学];
学科分类号
摘要
Preparing and defining of thermal properties of new type hybrid nanofluids are essential to understand the fluidity mechanism of hybrid nanofluids and select suitable nanofluids in terms of application. This research aims to provide an alternative fluid for different applications and complete the new type of nanofluid necessity in the literature that has been reported by different research groups. In this current investigation, water-based ZnO-SiO2 hybrid nanofluid is prepared by using the two-step method, and thermal conductivity and dynamic viscosity values are experimentally specified. ZnO-SiO2 hybrid nanofluid has 0.5%, 0.75%, and 1% with 50% ZnO-50% SiO2; 33.3% ZnO-66.6% SiO2, and 66.6% ZnO-33.3% SiO2 nanoparticle mixtures. Thermal conductivity and dynamic viscosity are experimentally measured from 20 to 60 degrees C. Maximum thermal conductivity rising is 2.26%, and it is obtained for 1% ZnO0.66-SiO2(0.33) at 50 degrees C. Maximum dynamic viscosity increment is measured as 1.36 times of base fluid for 1% ZnO0.33-SiO2(0.66) at 50 degrees C. Changes in thermal properties are reasonable to use ZnO-SiO2 hybrid nanofluid in different thermal applications to increase system heat transfer rate and efficiency and reduce pressure drop and power consumption. Finally, two different regression equations are developed to predict the thermal conductivity and dynamic viscosity, respectively.
引用
收藏
页码:8243 / 8259
页数:17
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