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<p>This work investigates the interplay between chemical reaction and radiative heat transfer in magnetohydrodynamic (MHD) stagnation-point nanofluid flow characterized by velocity and thermal slip on a stretched surface inside a porous medium, a subject that has not been previously explored. The impacts of the magnetic field, diffusion, radiation, Brownian motion, thermophoresis, and chemical reactions are considered in the nonlinear partial differential equations that regulate the momentum, energy, and concentration profiles. The similarity variables convert these equations into ordinary differential equations. The Keller Box Method (KBM) is used in MATLAB to numerically solve the resultant equations. This method is stable, converges quickly, and gives accurate results for tightly coupled nonlinear situations. The findings demonstrate that radiation, viscous dissipation, and the inertial coefficient substantially affect the flow structure. The Biot number makes the thermal boundary layer thicker, while heating the temperature profiles makes the Brownian motion parameter bigger. The KellerBox&#xa0;Method is a good way to explain the difficult physics of MHD nanofluid flow, which might help with heat control applications.</p>

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Combined influence of surface permeability and reactive diffusion on magneto-radiative stagnation-point nanofluid flow over a stretching surface

  • 期刊论文

  • 发表日期：

    2026年1月6日

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  • B. Shankar Goud,
  • Y. Dharmendar Reddy

摘要

This work investigates the interplay between chemical reaction and radiative heat transfer in magnetohydrodynamic (MHD) stagnation-point nanofluid flow characterized by velocity and thermal slip on a stretched surface inside a porous medium, a subject that has not been previously explored. The impacts of the magnetic field, diffusion, radiation, Brownian motion, thermophoresis, and chemical reactions are considered in the nonlinear partial differential equations that regulate the momentum, energy, and concentration profiles. The similarity variables convert these equations into ordinary differential equations. The Keller Box Method (KBM) is used in MATLAB to numerically solve the resultant equations. This method is stable, converges quickly, and gives accurate results for tightly coupled nonlinear situations. The findings demonstrate that radiation, viscous dissipation, and the inertial coefficient substantially affect the flow structure. The Biot number makes the thermal boundary layer thicker, while heating the temperature profiles makes the Brownian motion parameter bigger. The KellerBox Method is a good way to explain the difficult physics of MHD nanofluid flow, which might help with heat control applications.