Development of high resolution particle image velocimetry for use in artificial heart research

P. Hochareon, K. B. Manning, A. A. Fontaine, S. Deutsch, J. M. Tarbell

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

Both high and low wall shear stresses have been implicated as causes for device failure after implantation. Previous studies have shown that the local flow field characteristics of artificial hearts do not scale simply as the device is reduced in size. To address this problem, a high resolution particle image velocimetry (PIV) system was developed to investigate the near wall flow field characteristic of the 50cc Penn State Artificial Heart. The PIV system has a resolution of roughly 6 microns per pixel and uses fluorescent particles to reduce noise due to reflections in the near wall region. The system was validated by measuring the laminar flow field in a 3×3 mm square tube. Valid velocity data were obtained in the central region of the tube and as close as 200 microns from the wall. Measured velocity profiles agreed with the analytical profile. The PIV system was then used to measure the flow field characteristics along the wall of the inlet section of the 50cc pump at peak diastole. Velocity profiles were obtained within a 5 mm region from the wall and exhibited wall strain rates varying from 1000-5000 s-1. The current focus is to increase the resolution and accuracy of the PIV measurements and to determine the optimal method of determining wall strain rate.

Original languageEnglish (US)
Pages (from-to)1591-1592
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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