Magnetohydrodynamic Flow and Heat Transfer in Nanofluid Systems

The study of magnetohydrodynamic (MHD) flow and heat transfer in nanofluid systems explores how electrically conducting fluids, enhanced with suspended nanoparticles, behave under applied magnetic fields. Such systems combine fluid mechanics, electromagnetism and advanced materials science to improve thermal management in engineering and energy applications. Nanoparticles—commonly oxides, metals or carbon-based structures—augment the thermal conductivity of base fluids, while magnetic fields offer an additional control parameter for flow and temperature distributions. Research in this field addresses boundary-layer manipulation, entropy generation minimisation, chemical reaction effects, and the influence of porous media. Key parameters include the Hartmann number (quantifying magnetic influence), the Nusselt number (characterising heat transfer rate), and dimensionless groups that describe nanoparticle diffusion via Brownian motion and thermophoresis. Practical applications span cooling of electronic devices, solar collectors, polymer processing and magnetically assisted biomedical therapies. Emerging work focuses on coupling MHD control with non-Newtonian behaviour, reactive flows and complex geometries, aiming to tailor thermal performance with minimal energy penalty.

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Magnetohydrodynamic Flow and Heat Transfer in Nanofluid Systems publication trend

The graph below shows the total number of articles in magnetohydrodynamic flow and heat transfer in nanofluid systems across all publications each year (not limited to Nature Index journals).

Technical terms

Magnetohydrodynamics (MHD): The study of the dynamics of electrically conducting fluids in the presence of magnetic fields.

Nanofluid: A base fluid containing dispersed nanoparticles (typically <100 nm) to enhance thermal conductivity and modify rheological properties.

Hartmann number: A dimensionless parameter expressing the ratio of electromagnetic to viscous forces in MHD flow.

Nusselt number: A dimensionless measure of convective heat-transfer relative to conductive heat-transfer across a boundary layer.

Darcy–Forchheimer model: A description of flow resistance in porous media that accounts for both linear (Darcy) and inertial (Forchheimer) drag effects.

Entropy generation: A measure of irreversibility in a thermodynamic process, often used to assess performance losses in heat-transfer systems.

References

1. Entropy Generation and Consequences of Binary Chemical Reaction on MHD Darcy–Forchheimer Williamson Nanofluid Flow Over Non-Linearly Stretching Surface. Entropy (2019).
2. Effects of MHD and slip on heat transfer boundary layer flow over a moving plate based on specific entropy generation. Journal of Taibah University for Science (2018).
3. Investigation on ethylene glycol Nano fluid flow over a vertical permeable circular cylinder under effect of magnetic field. Results in Physics (2018).