Purpose This work uses the Buongiorno model to examine the viscous fluid flow, heat transfer, solutal transport, and motile microorganism dynamics of nanofluids are affected by thermophoresis, Brownian motion, chemical reaction, magnetic field strength, and other important dimensionless characteristics. Design/methodology/approach Numerical solutions are found using a MATLAB-based computational package for the mentioned set of ordinary differential equations (ODEs) to find the desired results. The analysis is presented in tabular and graphical forms to outline the results through a detailed discussion. Findings The physical parameters such as the thermophoresis parameter, Brownian motion (BM), Prandtl number, heat source or sink parameter, chemical reaction rate, Schmidt number and the strength of the magnetic field significantly affect the behavior of velocity, thermal and solutal profiles. Research limitations/implications Nanofluids have several applications in manufacturing, energy systems, engineering and various industrial processes. The Buongiorno model is widely employed to describe nanofluid behavior in these applications, as it incorporates the effects of thermophoresis and BM on nanoparticle dynamics within base fluids. Practical implications Engineering systems and environmental processes frequently experience mixed conventions of heat transfer. Typical examples include heat exchangers, chemical reactors, cooling of electronic components and indoor ventilation with radiators. Originality/value Furthermore, the Buongiorno model and the microorganism hypothesis are integrated in this work to evaluate nanofluid flows under the combined influence of magnetic fields, chemical processes, thermophoresis, and BM. The study adds new knowledge about nanofluid dynamics and its possible uses in industry and engineering by highlighting how these important variables govern hydrodynamic, thermal, and solutal transport processes.
Khan et al. (Fri,) studied this question.