Validation of a CFD methodology for positive displacement LVAD analysis using PIV data

Area of Science:

• Biomedical Engineering
• Fluid Dynamics
• Medical Devices

Background:

• Left ventricular assist devices (LVADs) are crucial for managing heart failure.
• Accurate hydrodynamic assessment is vital for optimizing LVAD performance and patient outcomes.
• Traditional methods may not capture the complex flow dynamics within LVADs.

Purpose of the Study:

• To utilize Computational Fluid Dynamics (CFD) for evaluating the hydrodynamic performance of a positive displacement LVAD.
• To validate CFD models against experimental data for enhanced reliability.
• To demonstrate the utility of CFD in providing detailed flow characteristics for LVAD assessment.

Main Methods:

• Development of a CFD computational model incorporating implicit large eddy simulation and direct resolution of chamber compression.
• Modeling of valve closure to accurately replicate in vitro conditions.
• Validation of the CFD model using experimental Particle Image Velocimetry (PIV) data.

Main Results:

• High agreement between CFD and experimental data in qualitative flow patterns, velocity fields, and wall-shear rates.
• Quantitative validation showing similar probed velocity histories, jet velocities, and wall-strain rates.
• CFD successfully reproduced in vitro results, confirming model accuracy.

Conclusions:

• CFD is a powerful tool for detailed hydrodynamic analysis of LVADs.
• The validated CFD model provides valuable insights into flow fields and wall-strain rates.
• This approach aids in the comprehensive evaluation and optimization of blood pump performance.