Computational analysis of the heat and mass transfer in a casson nanofluid with a variable inclined magnetic field

Abstract

Investigation of the impacts of thermo and thermal diffusion on a conducting Casson nano liquid with an inclined magnetic field is computationally examined.The partial differential equations that governed the considered flow model are transformed to ordinary highly nonlinear derivative equations.The non-dimensional formulated equations are solved using the Spectral Collocation Method (SCM).The method is adopted for various values of dimensionless momentum, heat transfer, and nanoparticle mass distribution.The computed solutions are compared with the existing results for a special limiting case for this study.Also, a graphical illustration of parameters embedded in the flow model is offered for the flow physical dynamical quantities such as the skin coefficient local friction, local temperature gradient, and local species mass gradient.The outcomes revealed that the nano-Casson fluid viscosity is enhanced as the velocity decreases with the rising magnetic field term, whereas heat propagation and mass nanoparticle field is augmented.The species fractional nanofluid is inspired by increasing chemical reactions.Hence, the results of this analysis will assist the chemical industries in monitoring their various activities to prevent reaction inflatable.