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Mathematical Investigation of Magnetohydrodynamic Convective Flow Characteristics in Electrically Conducting Fluid Systems

Vinay Shankar Dubey, Neelakantha Guru, A. Sathiya, Sandipkumar S. Patel
August 17, 2026
Published Date

Research Abstract & Technology Focus

Magnetohydrodynamic (MHD) convective flows play a significant role in numerous engineering and industrial applications where electrically conducting fluids interact with externally applied magnetic fields. These phenomena are encountered in liquid metal cooling systems, metallurgical processing, crystal growth, nuclear reactors, geothermal energy extraction, aerospace propulsion, and advanced thermal management systems. The present study develops a comprehensive mathematical investigation of MHD convective flow characteristics to examine the coupled effects of magnetic field intensity, buoyancy-driven convection, thermal diffusion, and viscous forces on the transport behavior of electrically conducting fluids. The governing conservation equations describing momentum, energy, and mass transfer are formulated under appropriate physical assumptions and transformed into dimensionless forms to facilitate numerical analysis and parameter evaluation. Particular emphasis is placed on understanding how variations in key dimensionless parameters, including the Hartmann number, Grashof number, Prandtl number, and Reynolds number, influence velocity distribution, temperature profiles, pressure gradients, boundary layer development, and heat transfer efficiency. The mathematical framework incorporates stable numerical solution techniques to ensure accurate prediction of coupled thermo-fluid behavior under different operating conditions. The results demonstrate that increasing magnetic field strength suppresses fluid motion by generating Lorentz forces that oppose the primary flow direction, thereby reducing convective velocity while simultaneously modifying thermal boundary layer thickness. Enhanced buoyancy effects promote stronger circulation patterns and improve heat transfer rates, whereas higher fluid viscosity and thermal diffusivity significantly alter temperature gradients within the computational domain. The interaction between magnetic damping and natural convection produces complex flow structures whose characteristics depend strongly on the combined influence of governing physical parameters. Furthermore, the investigation establishes quantitative relationships between magnetic intensity and thermal transport performance, providing valuable insights for optimizing electrically conducting fluid systems operating under diverse thermal and electromagnetic environments. The proposed mathematical model exhibits stable convergence and demonstrates strong capability in predicting MHD flow behavior over a wide range of engineering conditions, thereby offering a reliable analytical framework for future computational and experimental investigations. The findings contribute to the advancement of mathematical modeling techniques for coupled magneto-thermal transport phenomena while supporting the design and optimization of energy-efficient thermal systems, electromagnetic flow control devices, advanced cooling technologies, and industrial processes involving electrically conducting fluids. Overall, the study provides a robust theoretical foundation for understanding complex MHD convective transport mechanisms and highlights the importance of integrated mathematical analysis in improving the performance, stability, and operational efficiency of modern fluid engineering applications.
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This literature focuses on: Magnetohydrodynamic (MHD) convective flows play a significant role in numerous engineering and industrial applications where electrically conducting fluids interact with externally applied magnetic fields. These phenomena are encountered in liquid...

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Yes, highly correlated activity was mapped. An entry titled 'Investigation of MHD natural convective nanofluid flow between horizontal parallel plates' discusses this: The present study employs numerical analysis to examine the heat transfer and fluid flow properties of an ethylene glycolalumina nanofluid in the r...

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