The study of heat transfer problems is of paramount significance due to their wider spectrum of applications specifically in heat engines, insulation, chemical and thermal engineering etc. The formulation of new model completed via enhanced nanofluid properties and under physical parameters and then in-depth mathematical investigation done via numerical approach and scrutinized the results for preeminent physical parameters. Thermal conductivity estimation under Corcione’s model increased by taking the particles concentration up to φ=0.6% and electrical conductivity diminishes from 0.999001 to 0.994036. Further, the eye bird analysis of the results revealed that the stretching number S1 from 0.1 to 1.3 and α2=0.1,0.2,0.3,0.4 resists the fluid flow over the surface and the nanofluid movement is slow compared to conventional liquid due to high viscous forces. Keeping the concentration φ% and Ha=0.1,0.2,0.3,0.4 the velocity G'(η) drops and it rises for increasing S1. Furthermore, the addition of radiative thermal flux (Rd) and internal heating effects (Hg) in the model increase its applicability for high thermal transport applications and is observed maximum for nanofluid. The local thermal rate at the surface could be enhanced by keeping Rd and Hg from 0.0 to 0.8 and minimal rate of heat transport is observed for simple fluid while it is dominant for nanofluid.
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