Heat Transport Analysis of Hybrid Nanofluid Flows: Numerical and Asymptotic Methods

Abstract

The incorporation of nanoparticles has recently become highly sought after due to their exceptional ability to enhance thermal conductivity and promote efficient heat dissipation, resulting in improved performance and reliability of heat-generating and absorption systems. This thesis investigates and analyzes mathematical models that consider the thermophysical properties of nanoparticles submerged in a base fluid under various configurations, such as biaxially stretching surfaces, moving plates, inclined surfaces, twisting cylinders, and spiraling disks. Different nanofluid models are carefully selected to depict the behavior of nanoparticles accurately. The primary objective of the current research is to enhance heat and flow transmission in a system. To focus on specific events and gain deeper insights, researchers utilize scaling and asymptotic analysis, making governing parameters prominent. The simulations of flow, energy, wall stresses, and heat transport rate equations are performed for each geometry, considering various physical aspects and control parameters to scrutinize the mathematical models thoroughly. Additionally, the present study compared hybrid nanofluids, consisting of multiple nanoparticles, with mono nanofluids, comprising single nanoparticles, in terms of their thermophysical properties. Through these investigations, this thesis contributes to advancing our knowledge of heat and flow transmission and the potential applications of hybrid nanofluids in various industrial domains. This thesis presents numerical and asymptotic solutions achieved using MATLAB’s finite difference scheme. A comparison is made with existing literature in limiting cases to validate our findings. Furthermore, the research explores the applications of the Navier-Stokes-Fourier system and its challenges in various potential scenarios. This study advances our understanding iv of heat transfer enhancement in hybrid nanofluids and their potential applications in electronics cooling, energy storage, and catalytic support systems. By focusing on mathematical models and analyzing the thermophysical behavior of nanoparticles, this research fills gaps in the existing literature and paves the way for innovative solutions in heat management and energy related applications.