The laminar bioconvection flow of a nanofluid in a convergent/divergent channel is computationally analyzed. The channel features impervious, adiabatic walls. A physics-based model couples the mass, momentum, and energy conservation equations. A thermal-hydraulic and entropy production analysis is performed using the first and second laws of thermodynamics to identify ideal parameters that maximize thermal performance while minimizing system irreversibility. Fluid flow, heat-mass transfer, motile microorganism density, and system entropy are investigated as functions of the channel angle. The governing equations are reduced via scaling and solved numerically using the Keller-Box method. Resu... More >

This study investigates the magnetohydrodynamic (MHD) flow of Boger tri-hybrid nanofluid (tri-HNF) through a stretching disk. A novel machine learning technique, specifically the Levenberg--Marquardt (LM) scheme under a backpropagated artificial neural network (ANN), is used to predict the flow dynamics with heat and mass transfer. The Cattaneo-Christov mass and heat fluxes model, permeable media, and viscous dissipation are considered. The well-known Brinkman-Hamilton and Crosser model is used to describe thermal conductivity and viscosity models. The computational solution to the current problem has been obtained using the Bvp4c approach, which is based on finite differences. In order to e... More >