Bi-layer hybrid nano-blood flow under electromagnetic actuation in a squeezing channel

Electrokinetically driven squeezing flows are of increasing relevance in biomedical transport and microscale pumping systems, particularly in understanding complex blood dynamics in constricted arteries. This study explores the electroosmotic bi-layered hybrid nano-blood flow through a cardiovascular squeezing channel, incorporating nanolayer and thermal slip effects. The lower layer consists of Casson-type non-Newtonian blood with SWCNTs and gold nanoparticles, while the upper layer is modeled as a Newtonian fluid. The controlling equations for various flow quantities are presented using nonlinear partial differential equations and subsequently converted to a scale-invariant form through scale-invariant transformations. The coupled nonlinear system is numerically resolved through the Runge-Kutta-Fehlberg (RKF45) approach in conjunction with a shooting scheme, executed in Mathematica to achieve stable and precise computational results. Results indicate that temperature enhances with increasing Hartmann number due to magnetic heating but diminishes with stronger interfacial ratio parameter. The Casson region exhibits more pronounced thermal and velocity gradients compared to the Newtonian region, reflecting physiological shear-thinning characteristics. This study employs an artificial neural network for rapid and precise evaluation of the skin friction coefficient demonstrating strong predictive accuracy with minimal error rates of 0.01%. These findings provide new insights into the interplay between electromagnetic and electroosmotic forces in nanofluidic blood transport. The model offers potential applications in optimizing targeted drug delivery, hyperthermia treatments and microvascular flow control in cardiovascular systems.