Fractional order simulations for the thermal determination of graphene oxide (GO) and molybdenum disulphide (MoS2) nanoparticles with slip effects

In this thermal investigation, the mixed free convection Casson nanofluid along with heat transfer effects over a vertical plate is addressed. The thermal radiative phenomenon is also considered to improve the heat transfer rate. For base fluid, the engine oil is assumed for which the thermal enhancement is predicted with the suspension of graphene oxide (GO) and molybdenum disulphide (MoS2) nanoparticles. To construct the fractional model, the partial derivative with respect to time is exchanged by the recent definitions of fractional derivatives namely Atangana-Baleanu (AB) and Caputo-Fabrizio (CF) time-fractional derivative and the Laplace scheme is applied to obtain the solution of governing equations. To enhance the innovation of this article different cases of velocity profiles are examined. The effects of different parameters are examined graphically and numerically by varying the values of parameters. The reported results claimed that the simulations performed via AB-time fractional are more stable as compared to the Caputo-Fabrizio time-fractional approach. The velocity profile declines with increasing the fractional parameters while increasing change in velocity has been observed for Grashof number. The nanoparticles temperature shows a lower change due to volume fraction coefficient.

Automated summary

This study investigates the mixed free convection Casson nanofluid over a vertical plate with heat transfer effects, considering thermal radiative phenomenon. Thermal enhancement is predicted using engine oil with graphene oxide and molybdenum disulphide nanoparticles. Fractional model is constructed using Atangana-Baleanu and Caputo-Fabrizio time-fractional derivatives, showing stable simulations with AB-time fractional approach. Velocity profile decreases with increasing fractional parameters, while Grashof number results in an increased change in velocity. Nanoparticles temperature remains relatively stable due to volume fraction coefficient.