Research on Structural Optimization of Interventional Micro-Axial Blood Pump Based on Nondominated Sorting Genetic...

Area of Science:

• Biomedical Engineering
• Cardiovascular Devices
• Medical Device Optimization

Background:

• Rising global burden of cardiovascular diseases necessitates advanced circulatory support solutions.
• Limited availability of heart transplant donors drives demand for effective mechanical circulatory support.
• Interventional microaxial blood pumps offer a promising approach for managing heart failure.

Purpose of the Study:

• To optimize the impeller geometry of an interventional microaxial blood pump.
• To enhance hydraulic efficiency and improve hemocompatibility of the blood pump.
• To address the clinical need for safer and more reliable blood pump technology.

Main Methods:

• Integration of Design of Experiments (DOE), Computational Fluid Dynamics (CFD), and Response Surface Methodology (RSM).
• Application of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for multi-objective optimization of impeller design.
• Performance evaluation across various flow rates (1-4 L/min).

Main Results:

• Optimized model showed significant improvements in pump head and reduction in hemolysis index across tested flow conditions.
• At 1 L/min: 2.97% increase in head, 12.04% decrease in hemolysis.
• At design point: 5.22% head improvement, 11.71% hemolysis reduction.
• At 4 L/min: 8.5% head increase, 12.57% hemolysis reduction.

Conclusions:

• The optimized blood pump design demonstrates enhanced energy efficiency and reduced hemolytic risk.
• Improved safety and reliability of the interventional microaxial blood pump for clinical applications.
• Provides a foundation for future advancements in blood pump design and optimization strategies.