NUMERICAL INVESTIGATION OF SOLAR-DRIVEN SAKIADIS FLOW OF A NANOFLUID WITH BROWNIAN MOTION, VISCOUS DISSIPATION, AND DUST PHASE INTERACTION - KOO-KLEINSTREUER-LI (KKL) MODEL APPROACH

Abstract

The significance of an exponential space-dependent heat source (ESHS) on dusty nanoliquid moving over an extending sheet using Koo Kleinstreuer Li Model (KKL Model) and Brownian motion is studied. Nanoparticle diameter, volume fraction, and viscous dissipation are taken into account. Nanofluid containing CuO nanoparticles with water-based fluid is considered. Through appropriate transformations, the corresponding flow expressions are transformed to ordinary differential equations. The generated ODEs are solved by the Runge-Kutta-Felberg algorithm (RKF-45) algorithm with the shooting process. The influences of different parameters on temperature and velocity profile distributions are discussed and analyzed through graphs.  This research addresses that gap by enhancing heat transfer modeling for Sakiadis-type nanofluid flow through the application of the KKL model, which accounts for increased thermal conductivity due to uniformly dispersed CuO nanoparticles in water. The approach methodically looks at how the friction factor and temperature distributions are changed by viscous dissipation.  The impact of various factors on velocity and temperature profiles is displayed and interpreted using graphs.