Applications of artificial intelligence techniques to predict bio heat and mass transfer over a wedge surrounded by Newtonian non newtonian fluids

Abstract

newlineThis thesis peruses the theoretical studies of bio-magnetic heat and mass transportation of Newtonian/ non-Newtonian cooling liquids like nanofluid/ hybrid nanofluid/ ternary hybrid nanofluid, across a moving wedge. The theoretical studies incorporate the various effects of magnetic field, viscous dissipation, elastic deformation, thermal radiation, thermophoresis, Brownian motion, activation energy, and chemical reaction. The highly non-linear partial differential equations are altered into ordinary differential equations through adequate similarity replacements. The resulting set of expressions has been solved semi-analytically via Homotopy Perturbation Method (HPM) and numerically via Runge-Kutta Fehlberg fourth-fifth order integration scheme (RKF-45) with shooting technique with the help of MAPLE and MATLAB computational software. The precision of the numerical schemes adopted is validated when comparing the current results to the previous literature for particular limited circumstances. The influences of prominent flow parameters on the velocity, temperature, concentration of nanoparticles, , as well as Dragging force , Nusselt number , Sherwood number , and Motile microbes density number were interpreted in graphically and tabular form. newline newline