Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Correlation algorithm for computing the velocity fields in microchannel flows with high resolution

Correlation algorithm for computing the velocity fields in microchannel flows with high resolution Abstract A cross-correlation algorithm, which enables the obtaining of the velocity field in the flow with a spatial resolution up to a single pixel per vector, has been realized in the work. It gives new information about the structure of microflows as well as increases considerably the accuracy of the measurement of the flow velocity field. In addition, the realized algorithm renders information about the velocity fluctuations in the flow structure. The algorithm was tested on synthetic data at a different number of test images the velocity distribution on which was specified by the Siemens star. The experimental validation was done on the data provided within the international project “4th International PIV Challenge”. Besides, a detailed comparison with the Particle Image Velocimetry algorithm, which was realized previously, was carried out. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Thermophysics and Aeromechanics Springer Journals

Correlation algorithm for computing the velocity fields in microchannel flows with high resolution

Download PDF
10 pages

Loading next page...
 
/lp/springer-journals/correlation-algorithm-for-computing-the-velocity-fields-in-UK88wnJGfi
Publisher
Springer Journals
Copyright
2015 Pleiades Publishing, Ltd.
ISSN
0869-8643
eISSN
1531-8699
DOI
10.1134/S0869864315060104
Publisher site
See Article on Publisher Site

Abstract

Abstract A cross-correlation algorithm, which enables the obtaining of the velocity field in the flow with a spatial resolution up to a single pixel per vector, has been realized in the work. It gives new information about the structure of microflows as well as increases considerably the accuracy of the measurement of the flow velocity field. In addition, the realized algorithm renders information about the velocity fluctuations in the flow structure. The algorithm was tested on synthetic data at a different number of test images the velocity distribution on which was specified by the Siemens star. The experimental validation was done on the data provided within the international project “4th International PIV Challenge”. Besides, a detailed comparison with the Particle Image Velocimetry algorithm, which was realized previously, was carried out.

Journal

Thermophysics and Aeromechanics – Springer Journals

Published: Nov 1, 2015

References

  • A PIV algorithm for estimating time-averaged velocity fields
    C.D. Meinhart, S.T. Wereley, J.G. Santiago
  • Wall-shear-stress and near-wall turbulence measurements up to single pixel resolution by means of long-distance micro-PIV
    C.J. Kähler, U. Scholz, J. Ortmanns
  • Convergence enhancement of single-pixel PIV with symmetric double correlation
    F. Avallone, S. Discetti, T. Astarita, G. Cardone
  • S. Scharnowski, R. Hain, and C.J. Kähler, Reynolds stress estimation up to single-pixel resolution using PIVmeasurements, Exp. Fluids, 2012, Vol. 52, No. 985–1002.
    S. Scharnowski, R. Hain, and C.J. Kähler, Reynolds stress estimation up to single-pixel resolution using PIVmeasurements, Exp. Fluids,
  • Flow over periodic hills: an experimental study
    C. Rapp, M. Manhart
  • Adaptive algorithms for PIV image processing
    M.P. Tokarev, D.M. Markovich, A.V. Bilsky