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Heat Transfer Research
インパクトファクター: 0.404 5年インパクトファクター: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN 印刷: 1064-2285
ISSN オンライン: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.2018016868
pages 1059-1076

NATURAL CONVECTION HEAT TRANSFER IN A NANOFLUID-FILLED HORIZONTAL LAYER WITH SINUSOIDAL WALL TEMPERATURE AT THE BOTTOM BOUNDARY

G. Wang
School of Civil Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050, P.R. China
Z. L. Fan
School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050, P.R. China
Min Zeng
Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
Qiu-Wang Wang
Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P.R. China
H. Ozoe
Formerly at the Institute for Materials Chemistry and Engineering, Kyushu University, Kasuga Koen 6-1, Kasuga 816-8580, Japan

要約

Transient natural convection heat transfer of a water-based nanofluid in an infinite horizontal layer submitted to the influence of a time-periodic boundary temperature is studied numerically using finite volume approach. The bottom wall temperature of the horizontal layer is varied sinusoidally with time at a constant temperature, while the top wall is cooled at a relatively low temperature. CuO nanoparticles are taken into consideration. The computational region of height 1 and horizontal width 1 is adopted, and numerical computation is performed. By considering Brownian motion, the effects of the Rayleigh number and solid volume fraction on the flow and temperature patterns as well as the heat transfer rate within the horizontal layer are presented. It is found that the time-averaged heat transfer rate decreases with increasing solid volume fraction at low Rayleigh numbers. However, at high Rayleigh numbers, all of the time-averaged Nusselt numbers for the CuO–water nanofluid with different nanoparticle volume fractions are larger than that for pure water, and there is an optimum solid volume fraction which results in the maximum time-averaged heat transfer rate.


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