Quantifying and correcting for contamination of PLIF images due to background signals

Quantifying and correcting for contamination of PLIF images due to background signals A method for quantifying and correcting background signals due to back reflections in planar laser-induced fluorescence (PLIF) images is presented. It is shown that reflections of fluorescence off back walls can falsely elevate the signal in a PLIF image. A model for these back reflections is presented, and this model is used to generate a kernel with which images are corrected via direct inverse filtering. The correction method is demonstrated on PLIF images acquired in a static cell: first, background signals are quantified in a static cell by blocking portions of the beam and measuring the fluorescence signal in regions of the image where there is no fluorescence; second, a background correction kernel is generated by recovering the uncontaminated signal via direct inverse filtering. Finally, the method is extended to correct PLIF imaging of supersonic flowfields where large signal gradients exist across a shock wave. The correction is shown to improve agreement between measured expected signal levels on the stagnation line of supersonic flow around a 2D blunt body. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Experiments in Fluids Springer Journals

Quantifying and correcting for contamination of PLIF images due to background signals

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2013 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Engineering Fluid Dynamics; Fluid- and Aerodynamics; Engineering Thermodynamics, Heat and Mass Transfer
ISSN
0723-4864
eISSN
1432-1114
D.O.I.
10.1007/s00348-013-1566-7
Publisher site
See Article on Publisher Site

Abstract

A method for quantifying and correcting background signals due to back reflections in planar laser-induced fluorescence (PLIF) images is presented. It is shown that reflections of fluorescence off back walls can falsely elevate the signal in a PLIF image. A model for these back reflections is presented, and this model is used to generate a kernel with which images are corrected via direct inverse filtering. The correction method is demonstrated on PLIF images acquired in a static cell: first, background signals are quantified in a static cell by blocking portions of the beam and measuring the fluorescence signal in regions of the image where there is no fluorescence; second, a background correction kernel is generated by recovering the uncontaminated signal via direct inverse filtering. Finally, the method is extended to correct PLIF imaging of supersonic flowfields where large signal gradients exist across a shock wave. The correction is shown to improve agreement between measured expected signal levels on the stagnation line of supersonic flow around a 2D blunt body.

Journal

Experiments in FluidsSpringer Journals

Published: Jun 29, 2013

References

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