article · Modern Physics Letters B
This research evaluates heat transfer and thermodynamic irreversibility in a rotating graphene oxide and water nanofluid moving across a radiatively heated stretching surface. The theoretical model incorporates partial slip conditions, viscous dissipation, magnetohydrodynamic effects, and Joule heating caused by electromagnetic fields. The analysis compares five distinct nanoparticle geometries: blade, brick, cylinder, platelet, and sphere. The governing nonlinear boundary value equations for the momentum and thermal fields were solved numerically using similarity transformations. The findings show that platelet-shaped nanoparticles yield the highest enhancement in heat transfer, though they also generate increased entropy. In contrast, spherical particles cause the greatest resistance to fluid flow. Overall, the study demonstrates the trade-offs between improving thermal transport and reducing energy losses through entropy generation under complex flow conditions.
Managing heat effectively is essential for improving the efficiency of advanced machinery and power systems. By demonstrating how different nanoparticle shapes influence fluid motion and energy loss, this study helps engineers understand how to tailor fluid formulations. This insight is important for designing more effective cooling mechanisms that minimise wasted energy in high-performance equipment.
The findings provide design principles for engineers seeking to optimise nanofluid cooling in energy systems and advanced manufacturing. Because the work is based on numerical modelling and theoretical simulations rather than physical testing, it represents early-stage research. Practical development will require physical experimental validation before developers can commercialise these tailored graphene oxide nanofluid mixtures.
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Entropy generation plays a pivotal role in determining the efficiency of thermal systems involving nanofluids, impacting a wide range of engineering applications from energy systems to advanced manufacturing. This study presents a comprehensive analysis of thermodynamic irreversibility and heat transfer mechanisms in a rotating graphene oxide–water nanofluid flowing over a radiatively heated stretching surface with partial slip effects. To accurately capture nanoparticle influence, five distinct particle shapes — blade, brick, cylinder, platelet, and sphere — are integrated within a sophisticated two-phase nanofluid model. The investigation includes critical physical phenomena such as viscous dissipation, Joule heating induced by electromagnetic fields, and magnetohydrodynamic effects, reflecting realistic operational environments. Employing similarity transformations, the resulting nonlinear boundary value problem governing momentum and thermal fields is resolved numerically using MATLAB’s bvp4c solver. The results reveal that platelet-shaped nanoparticles facilitate superior heat transfer enhancement, albeit with increased entropy production, while spherical particles impose more substantial flow resistance. This work offers valuable theoretical insights and practical guidelines for optimizing nanofluid design in high-performance heat transfer systems, highlighting the delicate balance between augmenting thermal transport and minimizing irreversibility under complex flow conditions.
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DOI: 10.1142/s0217984925502677
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