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A comparative study between flow visualization and computational fluid dynamic analysis for the sun medical
Takashi Yamane1, Yusuke Miyamoto, Koki Tajima
1National Institute of Advanced Industrial Science and Technology, Namiki, Tsukuba, Ibaraki, Japan. yamane.t@aist.go.jp
Artificial Organs
|April 29, 2004
Summary
This study evaluated a centrifugal pump for artificial hearts using flow visualization and computational fluid dynamics (CFD). Results confirm suitability for implantable devices, highlighting effective antithrombogenic designs.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Medical Devices
Background:
- Implantable ventricular assist systems require rigorous fluid dynamic evaluation.
- Hemocompatibility of the Sun Medical centrifugal pump prototype was previously established.
- Understanding fluid dynamics is crucial for artificial heart design.
Purpose of the Study:
- To analyze the fluid dynamic characteristics of a centrifugal pump prototype for implantable ventricular assist systems.
- To validate computational fluid dynamics (CFD) results with experimental flow visualization.
- To assess the impeller design's suitability for artificial heart applications.
Main Methods:
- Flow visualization using particle tracking velocimetry.
- Computational fluid dynamics (CFD) analysis using STAR-CD software.
- Comparative analysis of experimental and CFD velocity distributions.
Main Results:
- No flow separations were observed around the curved open impeller.
- Antithrombogenic design features effectively generated axial velocity and suitable shear rates.
- Unsteady vortex shedding in the outlet was identified, impacting fluid dynamic efficiency.
- Good correlation was found between flow visualization and CFD velocity measurements.
Conclusions:
- The centrifugal pump impeller demonstrates suitability for implantable artificial hearts.
- Flow visualization and CFD are complementary tools for evaluating medical device fluid dynamics.
- The study provides insights into optimizing centrifugal pump design for medical applications.