Affiliation:
1. Dipartimento di Matematica e Informatica Università degli Studi di Palermo Via Archirafi 34 Palermo 90123 Italy
2. Department of Mathematics University of Gujrat Gujrat 50700 Pakistan
3. Future Technology Research Center National Yunlin University of Science and Technology 123 University Road Douliu 64002 Yunlin Taiwan
Abstract
AbstractA complete shape factor investigation of water‐based mixture type hybrid nanofluid in a permeable boundary with the impact of magnetic field, thick dissemination, and warm radiation is presented in this article. A computational convection analysis of an inverted semi vertical cone with a porous surface in the form of /water nanofluid and /water hybrid nanofluid transport is developed. The system of differential equations is presented and solved numerically by the Lobatto IIIA method. The temperature distributions and fluid velocity are studied along with the coefficient of skin friction and the Nusselt number, taking into account the form of distinct nano‐particles. The flow problem's results are approximated by using several embedding variables. Tables and graphs are constructed for a variety of scenarios including maximum residual error, mesh points, and Nusselt numbers. We conclude that boundary film thickness reduces and the fluid flow is resisted by magnetic field presence. Fluid flow slows down as increases, and this reduction is more evident in nanofluids than in hybrid nanofluids. With an increment in , velocity drops. A detailed analysis of the proposed ordinary differential equations, boundary conditions, and numerical data of skin friction is given both in tabular and graphical forms. Additionally, it is observed that the fluid flow slows down more for the hybrid nanofluid than for the /water nanofluid. Moreover, it is clear that the temperature increase for the /water nanofluid is substantially greater. The authors deduce that the existence of a magnetic field resists fluid flow for hybrid nanofluid forms and decreases the thickness of the viscous boundary layer.
Subject
General Engineering,General Computer Science
Cited by
9 articles.
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