Abstract

This article investigates natural convection with double-diffusive properties numerically in a vertical bi-layered square enclosure. The cavity has two parts: one part is an isotropic and homogeneous porous along the wall, and an adjacent part is an aqueous fluid. Adiabatic, impermeable horizontal walls and constant and uniform temperatures and concentrations on other walls are maintained. To solve the governing equations, the finite element method (FEM) employed and predicted results shows the impact of typical elements of convection on double diffusion, namely the porosity thickness, cavity rotation angle, and thermal conductivity ratio. Different Darcy and Rayleigh numbers effects on heat transfer conditions were investigated, and the Nusselt number in the border of two layers was obtained. The expected results, presented as temperature field (isothermal lines) and velocity behavior in X and Y directions, show the different effects of the aforementioned parameters on double diffusion convective heat transfer. Also results show that with the increase in the thickness of the porous layer, the Nusselt number decreases, but at a thickness higher than 0.8, we will see an increase in the Nusselt number. Increasing the thermal conductivity ratio in values less than one leads to a decrease in the average Nusselt number, and by increasing that parameter from 1 to 10, the Nusselt values increase. A higher rotational angle of the cavity reduces the thermosolutal convective heat transfer, and increasing the Rayleigh and Darcy numbers, increases Nusselt. These results confirm that the findings obtained from the Finite Element Method (FEM), which is the main idea of this research, are in good agreement with previous studies that have been done with other numerical methods.

Details

Title
Investigating double-diffusive natural convection in a sloped dual-layered homogenous porous-fluid square cavity
Author
Jalili, Bahram 1 ; Emad, Majdeddin 1 ; Malekshah, Emad Hasani 2 ; Jalili, Payam 1 ; Akgül, Ali 3 ; Hassani, Murad Khan 4 

 Islamic Azad University, Department of Mechanical Engineering, North Tehran Branch, Tehran, Iran (GRID:grid.411463.5) (ISNI:0000 0001 0706 2472) 
 Silesian University of Technology, Department of Power Engineering and Turbomachinery, Gliwice, Poland (GRID:grid.6979.1) (ISNI:0000 0001 2335 3149) 
 Lebanese American University, Department of Computer Science and Mathematics, Beirut, Lebanon (GRID:grid.411323.6) (ISNI:0000 0001 2324 5973); Siirt University, Department of Mathematics, Art and Science Faculty, Siirt, Turkey (GRID:grid.449212.8) (ISNI:0000 0004 0399 6093) 
 Ghazni University, Department of Mathematics, Ghazni, Afghanistan (GRID:grid.448871.6) (ISNI:0000 0004 7386 4766) 
Pages
7193
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2986722949
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.