Open Access

ARTICLE

Thermodynamic Analysis of Marangoni Convection in Magnetized Nanofluid

Joby Mackolil^1,2, Mahanthesh Basavarajappa^1,3, Giulio Lorenzini^4,*

1 Centre for Mathematical Needs, Department of Mathematics, Christ University, Bengaluru, 560029, India
2 Postgraduate and Research Center of Mathematics, Bharata Mata College (Autonomous), Thrikkakara, 682021, India
3 Department of Mathematics and Physics, Texas A&M International University, Laredo, TX 78041, USA
4 Department of Industrial Systems and Technologies Engineering, University of Parma, Parma, 43124, Italy

* Corresponding Author: Giulio Lorenzini. Email:

(This article belongs to the Special Issue: Heat and Mass Transfer Applications in Engineering and Biomedical Systems: New Developments)

Frontiers in Heat and Mass Transfer 2025, 23(2), 529-551. https://doi.org/10.32604/fhmt.2025.058702

Received 19 September 2024; Accepted 20 December 2024; Issue published 25 April 2025

Abstract

This article explores the optimization of heat transport in a magnetohydrodynamic nanofluid flow with mixed Marangoni convection by using the Response Surface Methodology. The convective flow is studied with external magnetism, radiative heat flux, and buoyancy. An internal heat absorption through the permeable surface is also taken into account. The governing system includes the continuity equation, Navier-Stokes momentum equation, and the conservation of energy equations, approximated by the Prandtl boundary layer theory. The entropy generation in the thermodynamic system is evaluated. Experimental data (Corcione models) is used to model the single-phase alumina-water nanofluid. The numerical solution for the highly nonlinear differential system is obtained via Ralston’s algorithm. It is observed that the applied magnetic field leads to a higher entropy generation which is engendered by the Lorentz force within the fluid system. The thermal radiation leads to a higher Bejan number, indicating the importance of the irreversibility of heat transport. Also, the heat absorption process via a permeable surface can be employed to regulate the thermal field. An optimized Nusselt number of 13.4 is obtained at the high levels of radiation, injection, and heat sink parameters. The modeled fluid flow scenario is often seen in drying, coating, and heat exchange processes, especially in microgravity environments.

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Keywords

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