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Computational Thermal Sciences: An International Journal
ESCI SJR: 0.249 SNIP: 0.434 CiteScore™: 0.7

ISSN Print: 1940-2503
ISSN Online: 1940-2554

Computational Thermal Sciences: An International Journal

DOI: 10.1615/ComputThermalScien.2018020672
pages 307-320

DOUBLE DIFFUSIVE NATURAL CONVECTION IN A SQUARE ENCLOSURE FILLED WITH COPPER-WATER NANOFLUID INDUCED BY OPPOSITE TEMPERATURE AND CONCENTRATION GRADIENTS

Natesan Saritha
School of Mechanical Engineering, VIT University, Vellore, India
A. Senthil Kumar
School of Mechanical Engineering, VIT University, Vellore, India

ABSTRACT

Double-diffusive natural convection in a Cu–water nanofluid-filled square enclosure neglecting the effect of Soret and Dufour is studied numerically. The horizontal walls are well insulated and impermeable, while the vertical walls are imposed to opposite temperature and concentration gradients. Brinkman, Maxwell–Garnett models are used to determine the effective dynamic viscosity and thermal conductivity of Cu–water nanofluid, respectively. A computational code based on the SIMPLE algorithm is used to solve the system of conservation equations of mass, momentum, energy, and species. Simulations are performed using the thermal Rayleigh number, the buoyancy ratio, and the solid volume fraction as independent variables. The numerical results are studied in terms of velocity profiles, streamlines, isotherms, iso-concentrations, local and average Nusselt numbers, and Sherwood number for a wide range of Rayleigh number Ra = 104–105, the buoyancy ratio N = 0.1–10 and the solid volume fraction (0 ≤ φ ≤ 0.1) with Prandtl number Pr = 5.0 and Lewis number Le = 1. It is found that utilizing Cu–water nanofluid enhances the heat transfer sufficiently while the enhancement is marginal for the mass transfer. It is also observed that the fluid flow behavior increases with increasing Rayleigh number but decreases with increasing solid volume fraction.


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