| Abstrakt: |
Current study envisions novel investigation about impact of multi-natured nanoparticles on characteristics produced by bioconvective motion of gyrotactic microorganisms in Williamson fluid flow over an enlargeable cylinder. In addition, consideration of physical aspects like viscous dissipation, permeability, activation energy, magnetic field, chemical reaction, and convective boundary constraints jointly also adds the strength and innovative prospect of present communications. In view of its originality, firstly formulation of the problem is constructed in the form of dimensionless ODEs. Numerical simulations are computed by executing shooting method in combination with RK-4 method to attain outcomes. Additionally, a machine learning algorithm based on Levenberg-Marquardt scheme is employed to predict numerical results found from the numerical procedures. Credibility of work is ensured by making comparison with existing studies in restricted sense of the present effort. Results depicting the behavior of associated distributions against flow controlling parameters are interpreted through graphs and tables. Quantities of engineering interest are computed against governing parameters in comparative manner for three different nanoparticles. It is certified that the velocity profile exceeds when Fe3O4 nanoparticles are added whereas temperature, concentration, and motile microorganism's distributions are optimum in case of (Ag) nanoparticles. It is worthwhile to mention that all associated engineering quantities show contrary behavior with respect to their distributions against addition of respective nanoparticles. It is also recorded that amplification in the magnitude of activation energy elevates concentration distributions whereas reduces the mass flux. Convective boundary constraints employed at the surface of cylinder cause enrichment in temperature and concentration profiles and respective fluxes. [ABSTRACT FROM AUTHOR] |
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