This research could be useful in the construction of heavy power engines and the cooling of nuclear reactors, as well as in the insulation of buildings, the management of petroleum reservoirs, and the production of solar energy collectors. In this study, a numerical model is used to look at the steady, laminar, and incompressible MHD oblique stagnation point flow of nanofluids over a stretched convective surface. It is possible to evaluate nanoparticle aggregation with modified versions of the Krieger-Dougherty and Maxwell-Bruggeman models. Transforming the governing nonlinear PDEs into connected nonlinear ODEs through similarity transformations is necessary. We use a very efficient and precise numerical method to solve these equations. Mathematical implementation of the shooting technique using the Runge-Kutta-IV algorithm. Annotations on graphs illustrate how major physical factors affect the velocity, Nusselt number, streamlines, and temperature profiles. The local skin friction coefficient is tabulated. Velocity and temperature profiles increase with increasing values of stagnation parameters. The rate of heat transfer increases noticeably after incorporating the parameters and . When using the aggregation model, the heat transfer rate is increased by around 0.89%, compared to an increase of about 0.59% when not using the model. These enhancements manifest themselves at a 1% concentration of when the parameter is set to 0.5. With aggregation effects, ethylene glycol-based fluids performed better than without aggregation in terms of heat transfer rate. Consequently, we are confident in our numerical findings, which match earlier material for the limiting condition.
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