A Model for an Application to Biomedical industry through Viscoinelastic nanofluid flow.

Biomedical procedures such as surgical glue, knee replacement surgery, blood diagnostic and many others can exhibit the significance of viscoinelastic behavior with non-Newtonian characteristics is analyzed. The present article addresses the flow design is to accentuate the thermophysical characteristics of electrically conducting viscoinelastic nanofluid flow produced by a stretched surface. The impacts of Brownian motion and thermophoresis on viscoinelastic nanofluid are accounted in the presence of heat and mass transfer convective states. The modeled partial differential equations are transmuted into nonlinear ordinary differential equations employing similarity transformations to facilitate the computation procedure. The solution of the achieved boundary value problem is procured numerically by utilizing a program written with stiffness-switching methodology. The manners of controlling parameters on the fluid velocity, temperature, and concentration profiles are spotlighted via graphs. Finally, by changing the pertinent parameters, the Machine Learning technique is used to investigate critical properties of fluid flow, such as skin friction coefficient, Nusselt number, and Sherwood number. The effects of driving parameters are illustrated in a graphical and tabular format. The precision of the current methodology is validated by a comparison between the current and previous findings. [ABSTRACT FROM AUTHOR]