Entropy and Non-Fourier Flux on Hydro-magnetic Flow Among Nonlinearly Radiated Porous Micro Walls Filled with Blood-Based Different Shaped Ternary Nanoparticles

This research delves into the intricate dynamics of a pulsating hydromagnetic flow of a micropolar ternary hybrid nanofluid between two vertical porous walls. Its significance lies in exploring the effects of entropy production within this complex system. By adopting the Cattaneo–Christov heat flow model and considering various nanoparticle shapes (spherical, cylindrical, and platelet) and blood as the micropolar base fluid, the study offers a comprehensive understanding of the system's behavior. Key factors such as Ohmic heating, viscous dissipation, nonlinear thermal radiation, and the nonlinear Boussinesq approximation are all integrated into the analysis, providing a holistic view of the fluid dynamics. The study’s findings hold promise for a wide array of applications across diverse fields. In biomedical engineering, for instance, insights from this research can inform the development of innovative cancer therapy techniques and prosthetic kidney designs. By understanding how the flow characteristics influence processes such as magnetoreception and magnetic bioseparation, researchers can optimize these techniques for enhanced efficiency and accuracy. The methodology employed in this study involves perturbing the governing partial differential equations into a system of ordinary differential equations. These equations are then solved numerically using the fourth-order Runge–Kutta scheme and the shot approach, allowing for a thorough evaluation and visualization of various flow characteristics. Among the major findings of the research are notable trends such as the decrease in velocity with rising Hartmann number and coupling parameter, temperature fluctuations across different parameters, and the significant influence of nonlinear thermal radiation on the Bejan number. These insights deepen our understanding of complex fluid dynamics and have practical implications for optimizing processes in biomedical engineering, nanotechnology, and beyond. Its findings pave the way for advancements in various applications, ranging from medical treatments to technological innovations, ultimately driving progress in diverse fields of science and engineering.