A thermal case study of three dimensional MHD rotating flow comprising of multi-wall carbon nanotubes (MWCNTs) for sustainable energy systems

The carbon nanotubes (CNTs) possess unique properties due to their structural mechanism. The CNTs comprise of exceptional electrical, mechanical and thermal attributes. This paper aims to interpret the correlation of carbon nanotube nanoparticles with motile microorganisms in a rotating magnetohydrodynamic flow with respect to slip as well as convective boundary condi-tions. Multi-wall carbon nanotubes (MWCNTs) are incorporated as nanoparticles whereas water (H2O) as host fluid. The dimension free appearance of governing differential equations is caused by the similarity transformation. Afterward, the combination of order reduction and finite dif-ferences is used to determine the approximate solution of the problem. The consequences of problem parameters for temperature, velocity, Nusselt number and skin friction are deliberated through tables and graphs. The code efficiency is assessed by equating the results, under limiting cases, with the previous ones and found to be in an exceptional agreement. The temperature seems to be elevating with the influence of Biot number. On the other hand, a decreasing trend in the velocity profile is noticed when we increase the parametric values of rotation as well as slip parameter. The Peclet number is one of the factor that reduces the microbe's density distribution within the boundary layer regions.

Automated summary

This paper investigates the correlation between carbon nanotube nanoparticles and motile microorganisms in a rotating magnetohydrodynamic flow. The unique properties of carbon nanotubes are explained, and the effects of various parameters on temperature, velocity, Nusselt number, and skin friction are analyzed through numerical calculations and graphs. The temperature increases with the Biot number, but the velocity profile decreases with the increase of rotation and slip parameters. Additionally, the Peclet number reduces the distribution of microorganisms within the boundary layer regions.