Deterministic numerical investigation for bioconvection in MHD hybrid Nanofluidic model with stretching sheet and buoyancy

Deterministic numerical investigation for bioconvection in MHD hybrid Nanofluidic model with stretching sheet and buoyancy

The bioconvective investigation characteristics of magnetohydrodynamic hybrid nano-fluid (MHD-HNF) flow comprising colloidal nanoparticles of MgO-Cu fleeting through an extending porous sheet is presented numerically with state-of-the-art com¬puting methodologies. The study consisting of analysis of MHD-HNF flow dynamics by considering the physical elements such as Eckert number , heat generation, viscous dissipation, buoyancy influences, along with the assimilation of microorganisms con¬tributing while water serves as base fluid and observe the impact heat generation and temperature on fluid flow in the presence of colloidal. Mathematical partial differential system of equations (PDEs) is simplified into an ordinary differential equation (ODE) system through the use of non-dimensional parameters and similarity transformations, and solution dynamic data is generated with Adams numerical method as well as the backward differentiation formula (BDF) method. Numerical solution provides discrete set of values correspond to governing parameters. The comparative studies of the outcomes from both Adams and BDF methods are converted exhaustively for further investigations of the findings. Additionally, through absolute error and solution graph the entire graphical analysis is compared. The results of absolute error and solution dynamics established a strong agreement with previously published research outcomes for the parametric investigation, physical factors effects such as velocity, temperature, concentration and microorganisms. Mutual influences are illustrated using visual depiction, while comparative numerical results are provided in sufficient number of tabular forms.