Abstract: The aspiration of current study is to address the Magneto Hydro Dymaics (MHD) radiative flow of an incompressible steady flow of Jeffrey nanofluid explored using CNT (single and multi walled carbon nanotubes) over a stretched /shrinking surface. Heat and mass transfer characteristics are accounted for in the presence of joule heating and thermo-phoretic effects along with viscous dissipation. The governing non-linear partial differential equations are reduced to non-linear ordinary differential equations by using some adequate dimensionless variables and then solved numerically with Runge-Kutta method. The optimal solution expression of velocity, temperature, and concentration are explored through spatial representations by using several values of physical constraints with contour plot and surface plots. Further the coefficient of skin friction and local Nusselt number are examined through graphs. Artificial neural network introduced at this juncture to obtain the predictive values of engineering constraints from physical constraints.

Keywords: MHD, CNT, Contour, 3d Surface, ANN

| DOI: 10.17148/IARJSET.2019.6705