Analyzing the effects of a Maxwell nanofluid with graphene oxide on rectangular, triangular, and chamfered baffles on the surface of a stretched surface
The investigation of nanofluid (NF) flow under external fields and their influence on heat transfer rates has become a key focus in both engineering and medical sciences. Among these, magnetic fields have gained considerable attention in recent years owing to their unique properties and diverse appl...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | International Journal of Thermofluids |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666202725001946 |
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| Summary: | The investigation of nanofluid (NF) flow under external fields and their influence on heat transfer rates has become a key focus in both engineering and medical sciences. Among these, magnetic fields have gained considerable attention in recent years owing to their unique properties and diverse applications. This study aims to examine the thermal and fluid dynamic performance of graphene oxide nanofluid flowing over different L-shaped baffles, employing a combination of analytical and statistical techniques. The surface stretches from two coordinates with a velocity of u = -2.6 m/s for x < 0 and u = +2.6 m/s for x > 0.The flow of nanofluids containing graphene oxide moves across the surface at a velocity of one unit in the y-direction, with a temperature of 25 °C. The innovation of this study lies in the first-time analysis of the fluidic and thermal parameters of graphene oxide nanofluid flowing over baffles with different shapes on a tensile surface. Additionally, by utilizing 20 numerical data points in Design Expert software, the optimal values for velocity, temperature, and magnetic parameters on a flat surface were determined. The results of this paper examine how to achieve optimal results through the use of design of experiments (DOE) and response surface methodology (RSM).It highlights that rising magnetic pressure currents and the development of magnetic vortices significantly decrease the nanofluid’s temperature and flow velocity. As the temperature difference within the fluid increases, energy is transferred between the nanofluid particles in contact with the surface. The optimization process led to notable improvements in the velocity, temperature, and magnetic characteristics of the graphene oxide nanofluid. The resulting optimal values were: velocity (u) at 1.19 m/s, temperature (T) at 10.83 °C, and magnetic parameter (H) at -0.232 T Furthermore, the optimized geometric parameters included a baffle spacing of 0.026, a baffle height of 0.085, and a page length of 1.119. |
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| ISSN: | 2666-2027 |