Thermal transport in magnetized flow of hybrid nanofluids over a vertical stretching cylinder

Owing to their high thermal transfer rates, nanofluids gain attentions of the researchers and scientists. They have significant industrial and technological implementations in everyday life. A novel category of nanofluid, hybrid nanofluid, has recently been developed to further enhance the heat transfer rate. This article flashes on the magnetohydrodynamic flow of engine oil (base fluid) with hybrid nanoparticles(MWCNT MoS4) and (SWCNT Ag) over a vertical stretching cylinder. Moreover, the impacts of viscous dissipation and thermal radiation are also taken into account. Tiwari and Das nanofluid model with latest thermo physical characteristics and features of hybrid nanofluid is considered to formulate the physical problem. Further, contributions of numerous shape-factors are incorporated. The system of partial differential equations of the current model is converted into system of ordinary differential equations by adopting the suitable similarity practice. A bvp4c solver (shooting method) via MATLAB is employed to numerically compute findings of converted system. The significance of prominent parameters for subjective flow fields is investigated and elaborated through figures and charts. Temperature distribution enhances for larger values of melting parameter and porosity variable. Furthermore, larger temperature ratio parameter improved the temperature field. It is also analyzed that the larger values of porosity variable slow down the flow of fluid while enhances the temperature profile. Heat transfer depict retardation against the uplifting values of volume fraction. The two categories of carbon nanotubes (CNTs) namely, single-walled (SWCNTs) and multi-walled (MWCNTs) carbon nanotubes are considered for saturation in base fluid.

Automated summary

This article investigates the magnetohydrodynamic flow of engine oil with hybrid nanoparticles and considers the impacts of viscous dissipation and thermal radiation. Numerical computations reveal the effects of various parameters on the flow field and the trends of temperature distribution with parameter variations.