Numerical simulations of blood flow in a stenosed artery using a multi-criteria decision-making Algorithm

Area of Science:

• Biomedical Engineering
• Fluid Dynamics
• Cardiovascular Science

Background:

• Stenosed arteries significantly alter blood flow hemodynamics.
• Understanding these changes is crucial for managing cardiovascular diseases.
• Computational modeling offers a powerful tool to study complex blood flow dynamics.

Purpose of the Study:

• To analyze hemodynamic characteristics of blood flow in stenosed arteries.
• To simulate hybrid micropolar-Casson fluid flow with a perpendicular magnetic field.
• To optimize parametric values using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS).

Main Methods:

• Development of a two-dimensional computational model for blood flow simulation.
• Application of a hybrid micropolar-Casson fluid model incorporating a magnetic field.
• Utilization of TOPSIS for systematic evaluation and ranking of parametric values.

Main Results:

• The Hartmann number effectively controls flow separation regions in stenosed arteries.
• Wall shear stress shows a direct correlation with the Hartmann number and Casson parameter.
• Heat transfer rate increases with higher Hartmann, Darcy, and Strouhal numbers for the hybrid nanofluid.

Conclusions:

• The study provides insights into blood flow dynamics in narrowed arteries.
• The Hartmann number is a key parameter for managing hemodynamic conditions in stenosis.
• Findings can inform advanced diagnostic and therapeutic strategies for stenotic arterial diseases.