Heat and mass source effect on MHD double-diffusive mixed convection and entropy generation in a curved enclosure filled with nanofluid
Articles
Rujda Parveen
Visva-Bharati (A Central University)
https://orcid.org/0000-0001-6385-022X
Tapas Ray Mahapatra
Visva-Bharati (A Central University)
https://orcid.org/0000-0003-3715-4532
Published 2022-03-01
https://doi.org/10.15388/namc.2022.27.25338
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Keywords

magneto-hydrodynamics
complex enclosure flow
mixed convection
discrete heat source
entropy generation
double-diffusive
nanofluid

How to Cite

Parveen R. and Mahapatra T. R. (2022) “Heat and mass source effect on MHD double-diffusive mixed convection and entropy generation in a curved enclosure filled with nanofluid”, Nonlinear Analysis: Modelling and Control, 27(2), pp. 308-330. doi: 10.15388/namc.2022.27.25338.

Abstract

This paper examines the two-dimensional laminar steady magnetohydrodynamic doublediffusive mixed convection in a curved enclosure filled with different types of nanofluids. The enclosure is differentially heated and concentrated, and the heat and mass source are embedded in a part of the left wall having temperature Th (>Tc) and concentration ch (>cc). The right vertical wall is allowed to move with constant velocity in a vertically upward direction to cause a shear-driven flow. The governing equations along with the boundary conditions are transformed into a nondimensional form and are written in stream function-velocity formulation, which is then solved numerically using the Bi-CGStab method. Based on the numerical results, the effects of the dominant parameters such as Richardson number (1 ≤ Ri ≤ 50), Hartmann number (0 ≤ Ha ≤ 60), solid volume fraction of nanoparticles (0.0 ≤ ϕ ≤ 0.02), location and length of the heat and mass source are examined. Results indicate that the augmentation of Richardson number, heat and mass source length and location cause heat and mass transfer to increase, while it decreases when Hartmann number and volume fraction of the nanoparticles increase. The total entropy generation rises by 1.32 times with the growing Richardson number, decreases by 1.21 times and 1.02 times with the rise in Hartmann number and nanoparticles volume fraction, respectively.

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