Heat Transfer Enhancement and Entropy Minimization Through Corrugation and Base Inclination Control in MHD-Assisted Cu–H2O Nanofluid Convection

Efficient management of heat transfer and entropy generation in nanofluid enclosures is essential for the development of high-performance thermal systems. This study employs the finite element method (FEM) to numerically analyze the effects of wall corrugation and base inclination on magnetohydrodynamic (MHD)-assisted natural convection of Cu–H2O nanofluid in a trapezoidal cavity containing internal heat-generating obstacles. The governing equations for fluid flow, heat transfer, and entropy generation are solved for a wide range of Rayleigh numbers (103–106), Hartmann numbers (0–50), and geometric configurations. Results show that for square obstacles, the Nusselt number increases from 0.8417 to 0.8457 as the corrugation amplitude rises (a = 0.025 L–0.065 L) at Ra = 103, while the maximum heat transfer (Nu = 6.46) occurs at Ra = 106. Entropy generation slightly increases with amplitude (15.46–15.53) but decreases under stronger magnetic fields due to Lorentz damping. Higher corrugation frequencies (f = 9.5) further enhance convection, producing Nu ≈ 6.44–6.47 for square and triangular obstacles. Base inclination significantly influences performance: γ = 10° yields maximum heat transfer (Nu ≈ 6.76), while γ = 20° minimizes entropy (St ≈ 0.00139). These findings confirm that optimized corrugation and inclination, particularly with square obstacles, can effectively enhance convective transport while minimizing irreversibility, providing practical insights for the design of energy-efficient MHD-assisted heat exchangers and cooling systems.

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Publication Details

Journal
AppliedMath
Published
2025-11-07
DOI
https://doi.org/10.3390/appliedmath5040160
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
Field-Weighted Citation Impact
0.00

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article

Heat Transfer Enhancement and Entropy Minimization Through Corrugation and Base Inclination Control in MHD-Assisted Cu–H2O Nanofluid Convection

Md. Mahbub Alam, Sree Pradip Kumer Sarker
AppliedMath
Nanofluid Flow and Heat Transfer
article

Heat Transfer Enhancement and Entropy Minimization Through Corrugation and Base Inclination Control in MHD-Assisted Cu–H2O Nanofluid Convection

Md. Mahbub Alam, Sree Pradip Kumer Sarker
article en

Abstract

Efficient management of heat transfer and entropy generation in nanofluid enclosures is essential for the development of high-performance thermal systems. This study employs the finite element method (FEM) to numerically analyze the effects of wall corrugation and base inclination on magnetohydrodynamic (MHD)-assisted natural convection of Cu–H2O nanofluid in a trapezoidal cavity containing internal heat-generating obstacles. The governing equations for fluid flow, heat transfer, and entropy generation are solved for a wide range of Rayleigh numbers (103–106), Hartmann numbers (0–50), and geometric configurations. Results show that for square obstacles, the Nusselt number increases from 0.8417 to 0.8457 as the corrugation amplitude rises (a = 0.025 L–0.065 L) at Ra = 103, while the maximum heat transfer (Nu = 6.46) occurs at Ra = 106. Entropy generation slightly increases with amplitude (15.46–15.53) but decreases under stronger magnetic fields due to Lorentz damping. Higher corrugation frequencies (f = 9.5) further enhance convection, producing Nu ≈ 6.44–6.47 for square and triangular obstacles. Base inclination significantly influences performance: γ = 10° yields maximum heat transfer (Nu ≈ 6.76), while γ = 20° minimizes entropy (St ≈ 0.00139). These findings confirm that optimized corrugation and inclination, particularly with square obstacles, can effectively enhance convective transport while minimizing irreversibility, providing practical insights for the design of energy-efficient MHD-assisted heat exchangers and cooling systems.

AppliedMathVol. 5(4)
Dhaka University of Engineering & Technology (BD)
University of Engineering and Technology, Lahore, University of Dhaka
Openalex Percentile: Top 67%
Nanofluid Flow and Heat Transfer
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Heat Transfer Enhancement and Entropy Minimization Through Corrugation and Base Inclination Control in MHD-Assisted Cu–H2O Nanofluid Convection — Md. Mahbub Alam, Sree Pradip Kumer Sarker · AppliedMath (2025) | TGRS Research Map | TGRS