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Computational Thermal Sciences: An International Journal
ESCI SJR: 0.249 SNIP: 0.434 CiteScore™: 1.4

ISSN Druckformat: 1940-2503
ISSN Online: 1940-2554

Computational Thermal Sciences: An International Journal

DOI: 10.1615/ComputThermalScien.2015013084
pages 51-64

NUMERICAL STUDY OF NATURAL CONVECTION HEAT TRANSFER PERFORMANCE IN AN INCLINED CAVITY WITH COMPLEX-WAVY-WALL: NANOFLUID AND RANDOM TEMPERATURE

Hicham Salhi
LESEI, Department of Mechanical Engineering, University Batna, Algeria
Mohamed Si-Ameur
LESEI Laboratory, Department of Mechanical Engineering, Technology Faculty, University of Batna 2, Algeria
Djamel Haddad
LESEI, Department of Mechanical Engineering, University Batna, Algeria

ABSTRAKT

Natural convection of a nanofluid (NF) consisting of water and (Ag or TiO2) in an inclined enclosure cavity has been studied numerically; the left and right walls of the cavity have a complex-wavy geometry and are maintained at a low and high temperature (random temperature, based on the random function), respectively. Meanwhile, the upper and lower walls of the cavity are both flat and insulated. The governing equations are solved numerically using the finite volume. The complex-wavy-surface is modeled as the superimposition of two sinusoidal function approaches. Results are presented in the form of streamlines, isotherms, and average Nusselt number. In addition, a parametric study is carried out to examine explicitly the volume fraction effects of nanoparticles (NPs) (φ = 0.1, 0.2), the Rayleigh number (Ra = 103,104, 105), the inclination angle of the cavity (γ = 0°, 45°, 90°, 135°, 180°), types of temperature (constant, random), types of NF (Ag and TiO2), and the complex-wavy-surface configuration. The results reveal that NPs addition remarkably enhances heat transfer in the cavity, especially for φ = 0.2. Besides, the effect of inclination angle and type of temperature is more pronounced at higher Rayleigh number. Moreover, it is shown that the heat transfer performance can be optimized by tuning the wavy-surface geometry parameters.


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