Comparative dynamics of mixed convection heat transfer under thermal radiation effect with porous medium flow over dual stretched surface

Abstract

Due to enhanced heat transfer rate, the nanofluid and hybrid nanofluids have significant industrial uses. The principal objective of this exploration is to investigate how thermal radiation influences the velocity and temperature profile. A water-based rotational nanofluid flow with constant angular speed $${\Omega }$$ Ω is considered for this comparative study. A similarity conversion is applied to change the appearing equations into ODEs. Three different nanoparticles i.e., copper, aluminum, and titanium oxide are used to prepare different nanofluids for comparison. The numerical and graphical outputs are gained by employing the bvp-4c procedure in MATLAB. The results for different constraints are represented through graphs and tables. Higher heat transmission rate and minimized skin friction are noted for triple nanoparticle nanofluid. Skin coefficients in the x-direction and y-direction have reduced by 50% in trihybrid nanofluid by keeping mixed convection levels between the range $$3 <\upepsilon \le 11$$ 3 < ϵ ≤ 11 . The heat transmission coefficient with raising the levels of thermal radiation between $$0.5 < {\uppi } \le 0.9$$ 0.5 < π ≤ 0.9 and Prandlt number $$7 < {\text{Pr}} \le 11$$ 7 < Pr ≤ 11 has shown a 60% increase.

A neural network computational structure for the fractional order breast cancer model

“…The designed structure based on the stochastic approach can be executed for various nonlinear natured models 45 – 62 .…”