Abstract
Hybrid nanotechnology has significantly contributed to enhancing energy efficiency and reducing heat loss. This study addresses entropy analysis in the motion of hybrid nanofluids incorporating magnetohydrodynamic effects, thermal radiation, and ohmic viscous dissipation phenomena. The implementation of magnetohydrodynamic, thermal radiation, and dissipation effects allows for a second law of thermodynamics analysis. The hybrid nanoparticles considered are Graphene Oxide (GO) and Molybdenum Disulphide (MoS2), with water serving as the base liquid. Entropy generation analysis, a thermodynamic approach, quantifies irreversibility and inefficiencies within the system, aiding in understanding losses and identifying areas for improvement. Additionally, a comparative study is conducted. The BVP4C algorithm, implemented using MATLAB, is employed to address this study and obtain solutions. The key findings indicate that heat transfer rates are higher for blade-shaped nanoparticles, and entropy is minimized by controlling parameters such as the radiation parameter, Brinkman parameter, and temperature difference.
Article Highlights
This study aims to investigate the heat transfer rate, entropy rate, and Bejan number of various shapes of nanoparticles.
The heat transfer rate of a hybrid nanoparticle is found to be higher than that of mono-particles.
Controlling the radiation parameter and Brinkman number can minimize irreversibility caused by heat transfer and entropy generation.
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1 SRM Institute of Science and Technology, Department of Mathematics, College of Engineering and Technology, Kattankulathur, India (GRID:grid.412742.6) (ISNI:0000 0004 0635 5080)
2 Mohan Babu University, Department of Mathematics, School of Liberal Arts and Sciences, Tirupati, India (GRID:grid.412742.6); Sree Vidyanikethan Engineering College, Department of Mathematics, School of Liberal Arts and Sciences, Tirupati, India (GRID:grid.459547.e)
3 Near East University, Department of Mathematics, Faculty of Arts and Sciences, Mersin 10, Turkey (GRID:grid.459547.e); International Telematic University Uninettuno, Section of Mathematics, Rome, Italy (GRID:grid.473647.5)
4 King Saud University, Department of Statistics and Operations Research, College of Science, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396)