Computational Modeling of Coronary Artery Flow and Pressure: A CFD Approach for Cardiovascular Disease Dynamic

Abstract

This research paper presents a computational fluid dynamics (CFD) approach to modeling pulsating blood flow with magnetic particles through a stenosed artery under the influence of an applied magnetic field, oscillating pressure gradient, external body acceleration, and slip velocity. A mathematical model was developed to describe the coupled dynamics of blood and magnetic particles, and the governing equations were solved analytically and simulated using MATHCAD software. Key findings indicate that blood velocity and magnetic particle velocity can be modulated by adjusting the magnetic parameter. In the absence of stenosis, blood flow remains constant along the axial coordinate. However, within the stenosed region, significant variations in blood velocity occur, with peak velocity and shear stress observed at the throat of the stenosis. Notably, shear stress is higher near the artery’s longitudinal axis in stenosed areas, while it remains relatively constant in non-stenosed regions. The study underscores the potential of CFD modeling in understanding complex hemodynamic behavior within stenosed arteries. By incorporating magnetic fields and external influences, the model provides valuable insights into blood flow regulation, which could benefit cardiovascular diagnostics and treatment strategies. The ability to control blood and particle velocities through magnetic parameters suggests promising applications in targeted drug delivery and non-invasive therapeutic interventions. Future research could refine the model further by incorporating patient-specific data and exploring real-time clinical applications.