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Title INFLUENCE OF MIXED CONVECTION ON TERNARY HYBRID NANOFLUID FLOW IN THE PRESENCE OF MAGNETOHYDRODYNAMICS

Author(s) Nadia Naeem Abbasi

Abstract This study explores the behavior of fluid flow and heat transfer for a ternary hybrid nanofluid composed of three types of nanoparticles: aluminum oxide (𝐴𝑙2𝑂3), copper (𝐶𝑢), and titanium dioxide (𝑇𝑖𝑂2), suspended in a base fluid. The research focuses on understanding the flow dynamics near the stagnation point when the ternary hybrid nanofluid flows over a symmetrically stretching disk. Several critical factors are considered, such as the variable viscosity of the fluid, the effects of thermal stratification and viscous dissipation, and the influence of magnetohydrodynamics (MHD). These factors significantly affect the flow and heat transfer processes in complex ways. Additionally, the study incorporates the effect of uniform heat source, which, along with mixed convection, plays an essential role in altering the flow characteristics. Mixed convection, a combination of forced and natural convection, is crucial when analyzing fluid behavior in such scenarios as it provides a deeper understanding of how buoyancy and external forces interact with the fluid flow. To mathematically represent the fluid flow and heat transfer, the system is modeled through a set of partial differential equations (PDEs). These governing equations are then simplified using similarity transformations, which convert the complex partial differential equations into a system of nonlinear ordinary differential equations. By doing so, the mathematical complexity is reduced, making the problem more manageable for numerical analysis. The bvp4c approach, a powerful solver in MATLAB, is employed to solve the ODEs and gain insight into the flow and temperature distributions. This research thoroughly investigates how different factors, such as nanoparticle volume fraction, magnetic field, disk stretching intensity, variable viscosity, and the mixed convection intensity, affect the velocity and temperature profiles. The findings provide valuable insights into how these factors interact, contributing to a more comprehensive understanding of fluid flow in complex systems.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Mathematics

Language English

Publication Date 2024-12-18

Subject Mathematics

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