Abstract The objective of this research is to explore the role of dynamic chemical reactions in governing the swirling flow characteristics of nonlinear generalized nanofluids. The analysis incorporates the combined effects of Brownian motion as well as thermophoretic forces to develop a comprehensive generalized nanofluid model. In addition, the impact of Lorentz forces arising from an applied magnetic field is examined to evaluate how magnetic interactions modify the hydrodynamic as well as thermal characteristics of the fluid system. By formulating as well as numerically solving the governing nonlinear equations. The significance of this research lies in its contribution to the broader understanding of magneto‐chemical interactions in nanofluid flows. The numerical findings reveal that incorporating Brownian motion and thermophoretic effects leads to substantial variations in flow patterns, temperature distribution as well as reaction rates compared to conventional models. The results demonstrate that magnetic field intensity can either stabilize or destabilize the flow depending on the relative magnitudes of the dimensionless parameters involved. Furthermore, it is observed that increasing the magnetic field reduces both the pressure and radial velocity within the viscosity‐dominant region, while thermophoretic and Brownian effects enhance the temperature field. Conversely, homogeneous and heterogeneous chemical reactions are found to decrease nanoparticle concentration, thereby influencing the overall mass transfer rate. This work provides a valuable framework for predicting and optimizing the behavior of magnetically influenced nanofluid systems. The findings hold practical importance for applications in nanofluid‐based cooling systems, catalytic chemical reactors, and other advanced thermal and chemical engineering processes. By accurately modeling the coupled effects of magnetohydrodynamics, nanoparticle transport, and reactive dynamics, this study offers guidance for the design of efficient industrial and technological systems where such interactions are critical.
Benaissa et al. (Wed,) studied this question.