MHD Non-Aligned Stagnation-Point Flow of Nanofluid over a Stretching Surface with a Convective Boundary Condition

Authors

  • Asha S. Kotnurkar Department of Mathematics, Karnatak University, Dharwad–580000, Karnataka, India https://orcid.org/0000-0001-6755-7629
  • Gayitri Mali Department of Mathematics, Karnatak University, Dharwad–580000, Karnataka, India

DOI:

https://doi.org/10.37256/est.4120231965

Keywords:

non-aligned stagnation-point flow, stretching surface, porous medium, magnetic effect, DTM

Abstract

In the present paper, MHD non-aligned stagnation-point flow has been found to be interesting and innovative in the analysis of viscous nanofluids over a stretching surface with a convective boundary condition in presence of the porous medium. Due to its many engineering and industrial uses, such as cooling nuclear reactors during an emergency shutdown, soft sheet extrusion, metal spinning, and solar central receivers exposed to wind current, the study of oblique stagnation point flow is important. The suitable similarity transformation is utilized for the reduction of a set of governing equations, which are solved by using the Differential Transformation Method (DTM) with Maple software. The Nusselt number (Nux), skin friction (Cf), and Sherwood number (Shx) are tabulated. A strong agreement is seen, and the accuracy of the results tabulated using DTM and the numerical method (fourth-order Runge-Kutta-Fehlberg integration scheme) is illustrated. Further, velocity, temperature, and nanoparticle volume fraction profiles are shown graphically and studied various parameters. It is reported that the magnetic parameter reduces the axial and oblique velocity gradients while enhancing the temperature and volume fraction profiles. The porosity parameter reduces the axial and oblique velocity gradients while enhancing the temperature profile.

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Published

2022-12-02

How to Cite

[1]
A. S. Kotnurkar and G. Mali, “MHD Non-Aligned Stagnation-Point Flow of Nanofluid over a Stretching Surface with a Convective Boundary Condition”, Engineering Science & Technology, vol. 4, no. 1, pp. 35–53, Dec. 2022.