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Natural Convection and Irreversibility of Nanofluid Due to Inclined Magnetohydrodynamics (MHD) Filled in a Cavity with Y-Shape Heated Fin: FEM Computational Configuration
1 School of Energy and Power Engineering, Jiangsu University, Zhenjiang, 212013, China
2 Department of Mathematics, Air University, Islamabad, 44000, Pakistan
3 Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt
4 Department of Mathematics, University of Management and Technology, Lahore, 54770, Pakistan
5 Department of Mathematics, University of Sargodha, Sargodha, 40100, Pakistan
6 Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia
7 Faculty of Sciences, The Superior University, Lahore, 54000, Pakistan
* Corresponding Author: Imran Saddique. Email:
(This article belongs to the Special Issue: Numerical Modeling and Simulations on Non-Newtonian Flow Problems)
Computer Modeling in Engineering & Sciences 2024, 139(2), 1505-1519. https://doi.org/10.32604/cmes.2023.030255
Received 28 March 2023; Accepted 25 July 2023; Issue published 29 January 2024
Abstract
This study explains the entropy process of natural convective heating in the nanofluid-saturated cavity in a heated fin and magnetic field. The temperature is constant on the Y-shaped fin, insulating the top wall while the remaining walls remain cold. All walls are subject to impermeability and non-slip conditions. The mathematical modeling of the problem is demonstrated by the continuity, momentum, and energy equations incorporating the inclined magnetic field. For elucidating the flow characteristics Finite Element Method (FEM) is implemented using stable FE pair. A hybrid fine mesh is used for discretizing the domain. Velocity and thermal plots concerning parameters are drawn. In addition, a detailed discussion regarding generation energy by monitoring changes in magnetic, viscous, total, and thermal irreversibility is provided. In addition, line graphs are created for the u and v components of the velocity profile to predict the flow behavior. Current simulations assume the dimensionless representative of magnetic field Hartmann number Ha between 0 and 100 and a magnetic field inclination between 0 and 90 degrees. A constant 4% volume proportion of nanoparticles is employed throughout all scenarios.Keywords
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