MHD nanofluid boundary layer flow through a stretching surface along with permeable media and activation energy

A computational methodology is delineated to examine fluid concentration, velocity, and temperature as flow characteristics on the nanofluid boundary layer flowing through a porous stretchable subsurface along with permeable media and activation energy. An analysis of the movement, magnetohydrodynamic, and activation energy within the boundary layer is elucidated. The mathematical formulations of ordinary differentiation are obtained from the fundamental governing flow equations by employing similarity transformations. The resultant system of equations was solved numerically using the MATLAB bvp4c computational package. The computational outcomes are illustrated for dimensionless parameters with respect to the characteristics of fluid flow, concentration, and temperature. The computational findings indicate that an increase in the porous and magnetic field parameter reduces flow, while simultaneously enhancing temperature and concentration in this domain. The inclusion of nanofluid results in an augmentation of the thermal conductivity of the fluid flow. The conclusions drawn corroborate a notable concordance with prior research documented in the extant literature. The computational results and insights derived are extensively utilized in various engineering processes such as polymer drawing and extrusion, casting, hot rolling, and metal cooling. The incorporation of magnetic nanoparticles enhances the efficiency of thermal and mass transfer, thereby facilitating precision in oncological treatments, wastewater remediation, and processes that promote energy efficiency. The current investigation has broad implications across various sectors. These include optimizing energy efficiency in industrial processes, developing advanced cooling solutions, energy sectors, and renewable energy systems, and creating novel materials with tailored properties.