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Computational flow optimization of rotary blood pump components

J F Antaki¹, O Ghattas, G W Burgreen

¹University of Pittsburgh, Artificial Heart and Lung Program, C-826 Presbyterian Hospital, PA 15213, USA.

Artificial Organs

|July 1, 1995

Summary

This study introduces a computational fluid dynamics (CFD) shape optimization method to automate rotary blood pump design. The approach refines blood pump geometry for improved fluid dynamics, aiming to reduce thrombosis and hemolysis.

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Area of Science:

Biomedical Engineering
Fluid Dynamics
Computational Science

Background:

Rotary blood pumps are crucial for patients with heart failure.
Current design methods for blood pumps are often manual and time-consuming.
Optimizing the blood-wetted surfaces is key to improving pump performance and patient outcomes.

Purpose of the Study:

To develop and implement an automated computational fluid dynamics (CFD) shape optimization methodology for rotary blood pumps.
To enhance the design process by integrating fluid dynamics simulations with optimization routines.
To explore novel blood pump geometries that improve fluid dynamic performance.

Main Methods:

Coupled computational fluid dynamics (CFD) and finite element flow simulation.

Related Experiment Videos

Gradient-based optimization routine to modify blood path geometry.

Optimization based on fluid dynamic criteria: shear stress, vorticity/circulation, and viscous dissipation.

Main Results:

Successful development and implementation of an automated CFD shape optimization methodology.
Demonstrated ability to modify initial blood pump designs into new configurations.
Preliminary results show both expected and novel transformations in blood flow paths.

Conclusions:

The developed CFD shape optimization tool automates and improves the design of rotary blood pumps.
This computational approach allows for more efficient exploration of the design space compared to traditional methods.
The tool can assist in designing blood-wetted components that minimize thrombosis and hemolysis while maximizing flow performance.