Entropy generation in MHD dusty-hybrid nanofluid flow over a porous cylinder with Cattaneo–Christov heat flux for biomedical applications
摘要
This research examines the viscoelastic magnetohydrodynamic (MHD) flow of a two-phase dusty-hybrid nanofluid within a porous cylindrical medium, accounting for the combined effects of thermal radiation, melting heat transfer, entropy generation, and the Cattaneo–Christov heat-flux model. This study uses a cylindrical coordinate system to analyze curvature-induced changes in momentum and thermal transport. The governing conservation equations for mass, momentum, and energy are transformed into a system of nonlinear ordinary differential equations, which is then solved numerically using the shooting technique with the bvp4c solver. The results show that, through the Lorentz force and elastic resistance, magnetic fields and viscoelasticity significantly suppress fluid motion, thereby lowering velocity gradients and altering frictional characteristics. Thermal relaxation limits heat transport, resulting in lower temperature distributions than in Fourier’s model, whereas radiation promotes thermal diffusion. The incorporation of TC4 + NiCr (titanium alloy and nickel chromium) nanoparticles into blood significantly enhances thermal conductivity, thereby improving heat transfer across the porous cylindrical surface. Analysis of entropy generation indicates that viscous dissipation, magnetic damping, and thermal gradients are the primary contributors to irreversibility, while enhanced nanoparticle impact and flow-control parameters effectively reduce energy losses. Overall, the study shows that the combined effects of hybrid nanoparticle dispersion, thermal relaxation, and melting processes enhance heat-transfer efficiency and reduce thermodynamic irreversibility. These findings are significant because they provide biomedical, scientific, and engineering applications.