Abstract
The analysis of impinging oblique nano-fluid past a stretching sheet is done in the
current communication. The nanoparticles' behaviour in fluids for convective heat transfer has
been extensively studied. We assume that the fluid and the stretching velocity change linearly.
In this paper, we used a cutting-edge Genetic Algorithm technique to better understand how a
nanofluid's thermal characteristics and heat transport vary over time. Additionally, the impact
of a change in the fluid's impinging angle is investigated. The temperature and concentration
curves, skin friction coefficient, and Nusselt number have all been observed and graphically
displayed.
Keywords: Genetic algorithm, Heat transfer, Nanofluids.
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