Computational Studies on Nanofluid Flows and Heat Transfer Analysis

Abstract

Recently, nanoparticles have presented numerous challenges across various scientific newlinedomains. The dispersion of nanoparticles in conventional fluids can significantly influence newlinetheir flow behavior and heat transmission properties. This study examines the behavior newlineof nanofluid flow over a flat plate and a stretching sheet to optimize the performance newlineand efficiency of various industrial and engineering operations. A collection of problems newlineconcerning water-based nanofluids ( Au , Ag ), ( Al2O3 , SiO2 ) and hybrid nanofluid newline(Cu + TiO2 , CuO + TiO2 ) over different surfaces with different flow characteristics, newlineespecially (i) viscous dissipation, (ii) magnetic field, (iii) thermal radiation, (iv) volume newlinefraction, and (v) velocity, thermal and concentration are examined. Moreover, another newlineproblem, the entropy generation of nanofluids over a Christov-Cattaneo Heat Flux newlineis analyzed. Some physical quantities such as skin friction coefficient, local Nusselt newlinenumber, and local Sherwood number are shown through graphs and tables. The newlinenon-dimensional parameters are Prandtl number, Brownian motion, Thermophoresis, newlineEckert number, Magnetic field parameter, Lewis number, Radiation number, Heat source newlineparameter, Hartmann parameter, Heat source parameter, and Weissenberg number are newlinealso calculated. The governing flow field equations are solved numerically using bvp4c, and newlineHomotopy Analysis Method and analytically solved by Adomian Decomposition Method, newlineLaplace Adomian Decomposition Method, and Variational Homotopy Perturbation newlineMethod. This thesis employs Response Surface Methodology to address specific problems, newlineaiding in the determination of optimal parameter levels newline