期刊
ALEXANDRIA ENGINEERING JOURNAL
卷 81, 期 -, 页码 636-655出版社
ELSEVIER
DOI: 10.1016/j.aej.2023.09.056
关键词
Oxytactic bioconvection; Eyring-Powell fluid; Multiple diffusions; Periodic MHD; Rotating cone; Entropy generation
This study investigates the effects of periodic magnetic fields and triple diffusion on bioconvection flow through a rotating cone populated by oxytactic bacteria and an Eyring-Powell fluid. The study finds that the periodic magnetic field exhibits wavy effects on surface gradients, specifically skin friction, in the boundary layer domain. The numerical non-similar solutions indicate that the bioconvective Rayleigh number and Peclet number significantly affect the flow velocity and microbial density.
Investigating the effects of periodic magnetic field and triple diffusion on bioconvection flow through a rotating cone populated by oxytactic bacteria and an Eyring-Powell fluid is innovative and significant. The magneto-bioconvection flow of an Eyring-Powell multi-diffusive fluid across a spinning cone is investigated in this paper, considering the effect of oxytactic microorganisms. The non-similar technique is used in the mathematical analysis of the flow over a spinning cone. The flow under consideration contains two diffusive species: liquid hydrogen and liquid oxygen. In light of the periodic magnetic field, the surface gradients, notably skin friction, exhibit wavy effects in the boundary layer domain. The governing equations for the fluid flow in the current flow problem, accompanied by heat diffusion, species diffusion, rotation, bioconvection, and periodic magnetic, are highly coupled nonlinear PDEs dependent on the proper initial and boundary conditions. Mangler's transformations convert them into non-dimensional forms, and numerical non-similar solutions are produced using implicit finite difference approximation and quasi-linearisation. The enriching values of bioconvective Rayleigh number Rb decline the velocity F, as a result, lessen the friction between the surrounding fluid and the cone's surface. The improving Peclet number Pe and microbial density difference sigma reduced the microorganism density profile and heightened the microorganism density number Re(-1/2)Nn.
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