A spline-based technique for estimating flow velocities using two-camera multi-line MTV

Reza Sadr, J. C. Klewicki

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Applications of spline-based data reduction techniques for molecular tagging velocimetry (MTV) are explored for the case in which two cameras are employed. To accomodate two cameras, an affine warp-mapping scheme that correlates the two camera views is introduced, and the associated uncertainties quantified. Spline-based techniques are examined for both multiple line and grid-based images. The high spatial resolution of the multiple line method enables accurate measurements of the velocity gradient and spatial correlations in a single direction. Such information is required to accurately obtain turbulent integral and Taylor micro scales. Comparison with previous multiple line methods indicates that even with the additional uncertainties associated with two cameras, the present spline technique improves sub-pixel resolution by about a factor of three. This improvement is required to accurately obtain turbulent integral and Taylor length scales.

Original languageEnglish
Pages (from-to)257-261
Number of pages5
JournalExperiments in Fluids
Volume35
Issue number3
DOIs
Publication statusPublished - Sep 2003
Externally publishedYes

Fingerprint

splines
Flow velocity
Splines
Velocity measurement
marking
estimating
flow velocity
Cameras
cameras
data reduction
Data reduction
spatial resolution
Pixels
pixels
grids
gradients
high resolution
Uncertainty

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Computational Mechanics
  • Mechanical Engineering
  • Mechanics of Materials

Cite this

A spline-based technique for estimating flow velocities using two-camera multi-line MTV. / Sadr, Reza; Klewicki, J. C.

In: Experiments in Fluids, Vol. 35, No. 3, 09.2003, p. 257-261.

Research output: Contribution to journalArticle

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