Prediction and optimization of flow aspects in newtonian and non newtonian fluid flows towards a stretching surface using soft computing techniques

Abstract

The present study focuses on the two-dimensional steady/unsteady boundary layer flow of Newtonian nanofluids containing copper and silver nanoparticles and non-Newtonian nanofluids like Carreau and Walter-B past a linear/non-linear permeable/impermeable stretching/slandering surface. The fluid flow with heat, mass and motile microorganism transfer mechanisms are explored under different physical attributes such as uniform/variable/aligned magnetic field, viscous dissipation, heat generation, linear/non-linear thermal radiation, elastic deformation, thermophoresis, Brownian motion, chemical reaction, suction, and multiple slip boundary conditions. The systems of highly non-linear partial differential equations that govern the flow models are non-dimensional zed using suitable similarity transformation variables. The shooting technique together with Runge-Kutta fourth-order/Runge-Kutta-Fehlberg fourth-fifth order integration scheme has been applied to solve the resulting non-loinear coupled ordinary differential equations numerically. The accuracy of the employed numerical schemes is validated by comparing the present results with the existing literature for some limiting cases. The impacts of significant flow parameters on fluid velocity, temperature, nanoparticle concentration, motile microorganism density, entropy generation, and Bejan number, as well as local skin friction coefficient, Nusselet number, Sherwood number, and motile microorganism density number, are investigated and demonstrated in tabular and graphical newline