Theneural networking strategy results in the tri-hybrid nanofluid flowing over a slippery flat plate to act as an antimicrobial agent through solar radiation

Faculty Science Year: 2024
Type of Publication: ZU Hosted Pages: 17
Authors:
Journal: ZAMM - Journal of Applied Mathematics and Mechanics /tik und Mechanik Wiely Volume: 104
Keywords : Theneural networking strategy results , , tri-hybrid nanofluid    
Abstract:
Hybrid nanofluids are employed to enhance the antibacterial effect produced by solar radiation. Antimicrobial properties are present in metal nanoparticles (such as silver, copper, or zinc) or metal oxides (such as titanium dioxide or zinc oxide) when exposed to solar radiation. Nanomaterials that have antimi crobial properties are selected from the available literature. A solar sheet with an inclined plane has been chosen and filled with tri-hybrid nanofluids (THNFs). Hybrid nanofluids including (CuO), Copper oxide, TiO2 (Titanium oxide), and SiO2 (Silicon dioxide), are selected from metal and metal oxide classes includ ing water as a base fluid. The antimicrobial action caused by solar radiation is enhanced by the slip boundaries and variable porous space. The influence of flow and thermal fields on isotherms, velocities, flow lines, and Nusselt num bers are considered. The transformed system of differential equations is solved by the Control Volume Finite Element Method (CVFEM) and RK-4 technique. The nanoparticulate volume fraction of CuO, TiO2,andSiO2 is largely respon sible for the enhancement in the heat transfer rate (HT), as observed. Improved thermal performance is achieved through the flow of THNFs, which in turn acts as an antimicrobial agent. Increasing values of (𝜙 = 𝜙1 +𝜙2 +𝜙3,𝑀,𝐸𝑐,𝑅𝑑,𝑄) parameters lead to an improvement in the heat transfer rate, which in turn decreases microbial activity.
   
     
 
       

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