Thermosolutal convection in a baffled curvilinear porous cabinet filled with magneto radiative hybrid nanofluid

Abstract

This study focuses on optimizing the thermosolutal performance of a wavy porous cabinet with a T-shaped cold baffle, highlighting the utilization of a radiative Cu-[Formula: see text] [Formula: see text]-water hybrid nanoliquid and diverse heating strategies. The purpose of this work is to evaluate the influence of these factors on hydromagnetic thermosolutal behavior under the influence of various thermal boundary conditions. By employing an efficient Higher Order Compact (HOC) scheme, the Navier-Stokes equations in streamfunction (ψ)-vorticity (ζ) form and energy as well as species transport equations are solved. In a novel approach, the study introduces a T-shaped cold baffle in the middle of the container, introducing complexity to the porous configuration. The investigation encompasses three distinct heating scenarios: uniform heating and soluting of the lower border (Case-1), linear heating and soluting (Case-2), and non-uniform heating and soluting (Case-3), while maintaining the side walls at cold and low concentration. The upper wall remains adiabatic. The results reveal a significant improvement in energy transfer across all cases, with an increase of 467.12% for Case-1, 470.98% for Case-2, and 387.78% for Case-3 as the radiation parameter ([Formula: see text]) is varied from 1 to 10. In contrast, solutal transfer experiences a slight decline, quantified as 3.09% for Case-1, 2.05% for Case-2, and 6.07% for Case-3. These findings emphasize the superior thermosolutal performance of Case-1, where an optimized heating strategy significantly enhances the overall system efficiency. This study provides valuable insights for improving thermal management systems in practical applications. Notably, in areas such as electronic device cooling, heat exchangers, and porous industrial processes, the findings offer the potential for enhanced efficiency and reliability.

Keywords: Different heating strategy; Energy and solutes transfer; Higher order compact scheme (HOC); Hybrid nanofluid; Irreversibility; T-shaped baffle; Thermal radiation.

Fig. 1

Physical configurations for the problem.

Fig. 2

Flow chart for solution algorithm.

Fig. 3

Comparison of isoconcentrations, streamlines and isotherms contours (a) Present (b) Al-Amiri et al..

Fig. 4

Comparison of streamlines and isotherms contours (a) Present (b) Mahmud et al..

Fig. 5

Comparison of streamlines and isotherms contours (A) Present (B) Sompong et al..

Fig. 6

Comparison of streamlines and isotherms between (i) (a, b) and (ii) present work (c, d) for .

Fig. 7

Comparison of isotherms at different Ra and : (a) experimental results of Corvaro and Paroncini and (b) Present study.

Fig. 8

Comparison of contours in (A) present work and (B) a numerical work of Ilis et al. for (a) local entropy generation due to heat transfer (b) local entropy generation due to fluid friction and (c) local entropy generation number for a cavity with a hot left wall and cold right wall with adiabatic top and bottom walls at for .

Fig. 9

Streamlines representing the fluid flow path within the baffled enclosure for different cases and Rayleigh number (Ra) with , , , , and . Max represents the maximum value of streamfunction.

Fig. 10

Isotherms representing the heat flow path within the baffled enclosure for different cases and Rayleigh number (Ra) with , , , , and .

Fig. 11

Iso-solutal lines representing the mass (species) flow path within the baffled enclosure for different cases and Rayleigh number (Ra) with , , , , and .

Fig. 12

Streamlines representing the fluid flow path within the baffled enclosure for different cases and Darcy number (Da) with , , , , and . Max represents the maximum value of streamfunction.

Fig. 13

Isotherms representing the heat flow path within the baffled enclosure for different cases and Darcy number (Da) with , , , , and .

Fig. 14

Iso-solutal lines representing the mass (species) flow path within the baffled enclosure for different cases and Darcy number (Da) with , , , , and .

Fig. 15

Streamlines representing the fluid flow path within the baffled enclosure for different cases and Lewis number (Le) with , , , , and . Max represents the maximum value of streamfunction.

Fig. 16

Isotherms representing the heat flow path within the baffled enclosure for different cases and Lewis number (Le) with , , , , and .

Fig. 17

Iso-solutal lines representing the mass (species) flow path within the baffled enclosure for different cases and Lewis number (Le) with , , , , and .

Fig. 18

The bar chart represents variation of average Nusselt number () and average Sherwood number () with solid volume fraction () for different cases and , , , , and .

Fig. 19

The bar chart represents variation of average Nusselt number () and average Sherwood number () with Rayleigh number (Ra) for different cases and , , , , and .

Fig. 20

The bar chart represents variation of average Nusselt number () and average Sherwood number () with Darcy number (Da) for different cases and , , , , and .

Fig. 21

The bar chart represents variation of average Nusselt number () and average Sherwood number () with Hartmann number (Ha) for different cases and , , , , and .

Fig. 22

The bar chart represents variation of average Nusselt number () and average Sherwood number () with buoyancy ratio number (N) for different cases and , , , , and .

Fig. 23

The bar chart represents variation of average Nusselt number () and average Sherwood number () with Lewis number (Le) for different cases and , , , , and .

Fig. 24

The bar chart represents variation of average Nusselt number () and average Sherwood number () with radiation parameter (Rd) for different cases and , , , , and .

Fig. 25

The bar chart represents variation of average Nusselt number () and average Sherwood number () with the nanoparticle shape factors (m) and solid volume fraction () for different cases and , , , , and .

Fig. 26

Variation of total entropy generation () and Bejan number (Be) for different cases (a) different Rayleigh number (Ra) with , , , , and (b) different Darcy number (Da) with , , , , and and (c) different Hartmann number (Ha) with , , , , and .