Numerical study of magneto convective ag (silver) graphene oxide (GO) hybrid nanofluid in a square enclosure with hot and cold slits and internal heat generation/absorption

Energy transmission is widely used in various engineering industries. In recent times, the utilization of hybrid nanofluids has become one of the most popular choices in various industrial fields to increase thermal performance and enhance power generation, entropy reduction, solar collectors, and s...

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Published in:	Scientific reports Vol. 14; no. 1; pp. 24868 - 21
Main Authors:	Rajenderan, Elayaraja, Prasad, V. Ramachandra
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 22-10-2024 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1041 639/766/189 Absorption Adiabatic Cancer therapies Convection Drug delivery Fluid flow Graphene Heat exchangers Heat transfer Horizontal cells Humanities and Social Sciences MAC numerical technique Manufacturing industry Mixed convection multidisciplinary Reynolds number Science Science (multidisciplinary) Silver Solar collectors Solar energy Square enclosure Thermal conductivity Turbines Water hybrid nanofluid Wind power Water hybrid nanofluid Mixed convection Square enclosure MAC numerical technique
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Summary:	Energy transmission is widely used in various engineering industries. In recent times, the utilization of hybrid nanofluids has become one of the most popular choices in various industrial fields to increase thermal performance and enhance power generation, entropy reduction, solar collectors, and solar systems. Motivated by this wide range of applications, the present article explores the mixed convection flow and heat transfer of magnetohydrodynamic ( Silver ) and ( Graphene ) nanofluids hybrid nanofluids in a square enclosure with heat generation/absorption by using the MAC method. The vertical walls of the enclosure are assumed to be adiabatic. The horizontal walls are also assumed adiabatic except for the center portion of the top and bottom walls of the cavity. The center portion of the horizontal upper wall is maintained as a cold is and the lower wall is maintained as hot . The dimension equations are transformed into dimensionless form and then discretized and solved with the finite difference Marker and cell (MAC) method. Numerical modelling is implemented, by changing Richardson number , The results are located graphically using MATLAB software. The Nusselt number graph was displayed for the Reynolds number (Re), Richardson number , and Hartmann number . The findings show that enhancing the values of the Richardson number and Reynolds number enhances the Nusselt number values except for the Hartmann number. The findings indicate that the combination of the new model is very good at predicting thermal conductivity and correlates experimental results well. The augmenting strength of magnetic force diminishes fluid flow. Developing the coefficients for the heat source and sink improves energy transmission and heat transfer enhancement. Hybrid nanofluids like enhance heat transfer and efficiency. They improve cooling in heat exchangers, radiators, and electronics, boost solar energy systems, aid in cancer treatment and drug delivery, enhance geothermal and wind turbine efficiency, and improve manufacturing processes. Overall, they optimize thermal management in various applications.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-024-76233-z