Magneto-Hydrodynamic Flow, Heat and Mass Transfer Investigations: Exploring Fundamental and Applied Aspects

Authors

  • Narender Sharma, Chandkiran

Keywords:

Magneto-Hydrodynamics, Heat Transfer, Nanofluids, Williamson Non-Newtonian Parameter, Prandtl Number, Eckert Number.

Abstract

This research explores the dynamics of Magneto-Hydrodynamic (MHD) flow, thermal, and mass transfer in Williamson nanofluids, considering a variety of factors such as magnetic field intensity, Williamson non-Newtonian coefficient, diffusivity proportion, heat capacity ratio, Prandtl number, and Eckert number. The MHD flow was represented in two dimensions and addressed through the shooting method, offering a deeper understanding of the impacts of viscous dissipation, thermal transfer, and concentration spread in nanofluid systems. The research demonstrates that elevating the magnetic field intensity diminishes fluid speed while amplifying temperature and concentration distributions, owing to the augmented Lorentz force. Moreover, an elevated Williamson non-Newtonian parameter diminishes fluid velocity yet amplifies heat and mass transfer efficacy, whereas a rise in the diffusivity ratio improves temperature and lowers concentration. Moreover, an elevated ratio of heat capacities leads to a rise in temperature, suggesting that nanoparticles enhance the thermal storage potential of the nanofluid. The influence of the Prandtl number on the thickness of the boundary layer and the distribution of temperature was noted, with an elevated Prandtl number resulting in a more slender thermal boundary layer. Ultimately, the impact of the Eckert number on viscous dissipation underscored its crucial contribution to elevating the temperature. These discoveries provide significant perspectives for enhancing MHD nanofluid movement across diverse engineering utilisations.

DOI: https://doi.org/10.17762/ijisae.v12i1.7794

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References

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Published

10.03.2024

How to Cite

Narender Sharma. (2024). Magneto-Hydrodynamic Flow, Heat and Mass Transfer Investigations: Exploring Fundamental and Applied Aspects. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 883 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7794

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Research Article