Abstract
The this paper, we investigate the heat and mass transfer in MHD nanofluid flow from an exponentially stretching surface numerically. The partial governing equations are transformed into a system of ordinary differential equations and then solved using a Successive Linearisation Method (SLM). The velocity, temperature and concentration profiles are shown graphically for various flow parameters and the physical quantities such as Skin-friction, Nusselt and Sherwood numbers are computed for different values of governing parameters. It is was observed from results that the SLM provides highly numerical solution and converges rapidly for nonlinear differential equations. It is concluded that an increase in the value of magnetic field parameter reduces the velocity field while the opposite trend is observed for temperature and concentration distributions. An increase in the value of nanoparticle volume fractions enhances the velocity field and the temperature distributions while the concentration distribution reduces.