High-performance nanofluid synthesis and DFT-TDDFT study of graphene nanosheets along bent surface for enhanced oil-recovery implementations

Thermal characteristics over a slippage permeable curved surface of mono and hybrid nanofluid convective flows. The surface is assumed to be convoluted with radius R in circle part. The saltwater is used as a base fluid to model the flow with graphene and silica nanoparticles. The magnetic effect is taken into consideration with a heat source (sink) and thermal radiative flow impact. The mathematical model is solved by Chebyshev spectral collocation method after transformed into a nondimensional form. The nanostructure thin films of [S-H2O/GO](m) nanofluid and [S-H2O/GO + SiO2](h) are synthesized by using a spin-coating technique process with a thickness of 100 +/- 3 nm/25 degrees C. The structure characterization (FT-IR spectrum and XRD) results from experimental and DFT-TDDFT (DMOl(3)) data are studied for mono and hybrid nanofluids. The outcomes show that the temperature is declined with a curvature of the surface, while the flow velocity is boosted. Rate of heat transmit is enhanced with the radiative and suction flow. The results specifically determine that Delta E-g(Opt) values decrease from 2.293 eV for [S-H2O/GO](m) mono nanofluid to 1.196 eV for [S-H2O/GO + SiO2](h) hybrid nanofluid using the DFT computations E-HOMO and ELUMO calculations. This result concluded that the [S-H2O/GO](m) transformed from semiconductor to [S-H2O/GO + SiO2](h) as a super-conductor hybrid nanofluid by adding (SiO2 nanoparticles).

Automated summary

The thermal characteristics of mono and hybrid nanofluid convective flows over a slippage permeable curved surface were studied. It was found that higher curvature of the surface leads to a decrease in temperature while increasing flow velocity. The rate of heat transfer is enhanced with the increase in radiative and suction flow.