Optimizing ventricular assist device rotor design parameters through computational fluid dynamics and design of...

Area of Science:

• Biomedical Engineering
• Cardiovascular Devices
• Fluid Dynamics

Background:

• Heart failure is a global health crisis with increasing prevalence.
• The demand for effective ventricular assist devices (VADs) is rising due to organ transplant limitations.
• Regulatory approval for VADs necessitates exceptional performance and reliability.

Purpose of the Study:

• To optimize the design parameters of an axial flow VAD rotor.
• To maximize pressure rise and hydraulic efficiency.
• To minimize the torque required for rotor operation.

Main Methods:

• Investigated key rotor parameters: splitters, blade angles, blade count, rotational speed, clearance gap, thickness, and length.
• Employed the D-optimal method for experimental design in simulations.
• Utilized regression analysis (comparing R², adjusted R², RMS error) to develop a mathematical model.

Main Results:

• A quadratic regression model was identified as the most effective for predicting rotor performance.
• The model accurately represented the relationship between design parameters and performance metrics.
• Predicted outcomes from the model showed strong consistency with simulation results.

Conclusions:

• The developed mathematical model provides a robust framework for VAD rotor design optimization.
• Optimized VAD rotor design is critical for meeting regulatory standards and improving patient care.
• This research contributes to the advancement of implantable cardiac support technologies.