Abstract

ABSTRACT Nanotechnology is progressively deploying more complicated functional nanofluid materials that can be tweaked to improve efficiency. Motivated by these advances, the present simulation has aimed to generalize the steady flow models for nanofluid stagnation point flow through a porous stretchy surface. Additionally, the model enriches by incorporating the impacts of Brownian motion and thermophoresis because of the Buongiorno model process, heat generation and Ohmic heating. The fluid model transformation is done by adopting appropriate similarity variables, and the solutions to the set of ordinary derivative equations are computationally done by employing the Fehlberg Runge-Kutta scheme and the shooting method. The significant structural behaviour of the entrenched fluid quantities is presented graphically and deliberated in the discussion section. Also, some exciting engineering quantities are calculated and offered in tabular form. As revealed, the nanoliquid velocity decays for large numbers of modified convective and magnetic terms. The heat generation, dissipation, magnetic and radiation terms augmented the nanoliquid thermal dispersion. The reverse impact is detected on the heat transfer field and species distribution with rising Brownian movement term. An increasing heat source inspired the thermal gradient along the boundary domain. Finally, to support the current findings, a result verification is conducted with the existing method, which portrays the correctness of the solution approach.

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