A numerical analysis of the transport of modified hybrid nanofluids containing various nanoparticles with mixed convection applications in a vertical cylinder

Abstract

The hybrid materials are an impressive class of nanofluids with exciting thermal outcomes and present applications in enhancing the heat transfer procedure, solar energy, extrusion processes, and in different engineering processes. The current contribution aims to reflect the improved mechanism of the heat transfer phenomenon for hybrid nanofluids. Aluminum oxide, copper, and copper oxide at different solid volume fractions are used to report the thermal phenomenon. For the base material, water is used. The mixed convection applications are also encountered. The moving cylinder with a stretched uniform velocity causes the flow. The velocity slip and convective boundary constraints are used to observe the flow phenomenon. The hybrid nanofluid is expressed via different mathematical relations. The shape factors for hybrid nanomaterials are presented. The Keller box numerical method with effective accuracy has been entertained for the simulation process. The applications of parameters for the current model are explained via graphs.

Neural network design for cubic autocatalysis chemical processes, the flow of a Darcy‐Forchheimer viscous fluid is optimized for entropy

“…Specifically, aluminum oxide, copper, and copper oxide nanoparticles are employed at varying solid volume fractions to elucidate the thermal behavior. The foundational fluid utilized in this investigation is water [37]. In this investigation, a comprehensive analysis of a three‐dimensional Bödewadt hybrid nanofluid flow has been conducted.…”