Impact of an effective Prandtl number model on the flow of nanofluids past an oblique stagnation point on a convective surface

The stretched surface's convective heat transfer capability can be improved by using nanoparticles. There is a significant role of the Prandtl number in determining the thermal and momentum stretching layer surfaces. It is proposed in this study that an effective Prandtl number model be used to explore the two-dimensional oblique stagnation point flow of [Formula: see text] and [Formula: see text] nanofluids moving over a convective stretching surface. The fluid in question is subjected to a thorough investigation. It is necessary to apply non-linear ordinary differential equations in order to connect the controlling partial differential equations with the boundary conditions. To solve these equations, an efficient and reliable numerical technique is used. Shooting Method with Runge Kutta-IV in Mathematica software. Visual representations of normal and tangential velocity and temperature as well as streamlines as a function of many physical parameters are shown. The results show that as the volume fraction of nanoparticles increases, the fluid flow [Formula: see text] [Formula: see text] and velocity [Formula: see text] [Formula: see text] all increase, whereas the flow [Formula: see text] and velocity [Formula: see text] both increase against the stretching ratio parameter, while the flow [Formula: see text] and velocity [Formula: see text] both decrease. When the volume percentage of nanoparticles and the Biot number are both increased, the temperature rises. However, when the stretching ratio parameter is increased, the temperature falls. Physical attributes like the local skin friction coefficient and the heat flow may be characterized in many ways. A nanofluid comprised of [Formula: see text] outperformed a [Formula: see text] nanofluid in terms of heat transfer rate. The source of zero skin friction may be observed to move to the left or right depending on the balance of obliqueness and straining motion at point [Formula: see text]. The computed numerical results of the current research correspond well with those accessible in the literature for the limiting scenario.