Thermal performance of GO-MoS2/ engine oil as Maxwell hybrid nanofluid flow with heat transfer in oscillating vertical cylinder

摘要

Engine oil (EO) is used as a lubricant in the engines of different machineries. The basic need of all phenomena is the rate of heat transfer. To enhance the rate of heat transfer and to save the energy wasted due to high temperature. For this reason in the present study we have taken engine oil as base fluid and molybdenum disulphide and graphene oxide (MoS2 + GO) hybrid nano-composites are suspended in the (EO). Furthermore, the nonlinear nature of viscoelastic non-Newtonian fluids, introduce a unique challenge to physicists and mathematicians. In the past three decades, viscoelastic fluid models are focused to improve its accuracy and reliability. In this article, viscoelastic Maxwell (MoS2 + GO) hybrid nanofluid (MHNF) is considered in oscillating cylindrical tube together with heat transfer. Exact solutions are obtained by using the joint applications of the Laplace and Hankel transforms and the obtained results are portrayed through different figures. All the figures of the given flow model are constructed for unitary nanofluid (MoS2 + EO) as well as hybrid nanofluid (GO + MoS2 + EO). Effects of flow parameters on Maxwell fluid velocity have shown through graph using computational software MATHCAD. From the present study, we have concluded that hybrid nanofluid gives us more satisfactory results than unitary nanofluid. During this analysis we found that the Maxwell hybrid nanofluid (GO + MoS2 + EO) enhance the rate of heat transfer up to 23.17 %. Furthermore, it is worth noting that engine oil has many engineering and industrial applications. Keeping this fact in mind the present study will help to enhance the rate of heat transfer due to which working machines will do better performance and the loss of useful energy will be reduced. Finally, we have present a limiting case by putting Maxwell fluid parameter (λ = 0) our solutions reduced to well-known published results which validate our work.