Abbreviations
- A :
-
area of circulation polygon
- a i :
-
parameter of the AGW interpolator
- C :
-
circulation
- c j :
-
reconstruction coefficient for MQ interpolator
- Del :
-
average distance between particles
- d i :
-
distance of point i from specified point
- d 0 :
-
optical distance from object to imaging lens
- e :
-
base of natural logarithm
- f i :
-
set of original data values (MQ interpolator)
- F k :
-
set of interpolated values (MQ interpolator)
- H :
-
window width parameter of AGW interpolator
- M :
-
position vector of selected point
- M :
-
magnification of imaging lens
- m :
-
filter shape parameter (MQ interpolator)
- n :
-
number of data points
- R :
-
spatial averaging parameter (MQ interpolator)
- r ij :
-
parameter matrix of MQ interpolator
- S :
-
lateral distance between imaging lenses
- s :
-
circulation polygon side
- u, v, w :
-
velocity components
- x, y, z :
-
spatial locations
- V :
-
velocity vector
- ω :
-
vorticity
References
Abrahamson, S. D.; Koga, D. J; Eaton, J. K. 1988: An experimental investigation of the flow between shrouded co-rotating disks. Report MD-50 of the Thermosciences Division of the Mech. Engg. Dept., Stanford University, Stanford, California
Agui, J. C.; Jimenez, J. 1987: On the performance of particle tracking. J. Fluid Mech. 185, 447–468
Dimotakis, P. E.; Debussy, F. D.; Koochesfahani, M. M 1981: Particle streak velocity field measurements in a 2-D mixing layer. Phys. Fluids. 24, 995–999
Imaichi, K.; Ohmi, K. 1983: Numerical processing of flow visualization pictures — measurement of two-dimensional vortex flow. J. Fluid Mech. 129, 283–311
Kuhlman, P. S. 1990: Quantitative 3-D flow visualization using stereoscopic particle streak velocimetry. M.S. Thesis. Mech. Engg. Dept., University of Nebraska-Lincoln
Kuhlman, P. S.; Sinha, S. K. 1990: Using interactive computer graphics for analyzing three-dimensional flow images. Proc. of the 8th Ann. Conf. on University Programs in Computer Aided Engineering, Design and Manufacturing, Ann Arbor, Michigan, 19–24
Lancaster, P.; Salkauskas, K. 1986: Curve and surface fitting — an introduction. London: Academic Press
Lourenco, L.; Krothapalli, A.; Buchlin, J. M.; Riethmuller, M. L. 1986: Noninvasive experimental technique for the measurement of unsteady velocity fields. AIAA J. 24, 1715–1717
Maas, H. G. 1990: Digital photogrammetry for determination of tracer particle coordinates in turbulent flow research. SPIE Vol. 1395. Close-Range Photogrammetry meets Machine Vision, 391–398
Nishino, K.; Kasagi, N.; Hirata, M. 1989: Three-dimensional particle tracking velocimetry based on automated digital image processing. J. Fluids Eng. 111, 384–391
Racca, R. G.; Dewey, J. M. 1988: A method for automatic particle tracking in a 3-D flow field. Exp. Fluids. 6, 25–32
Rignot, E. J. M.; Spedding, G. R. 1988: Performance analysis of automated image processing and grid interpolation techniques for fluid flows. Report USCAE 143 of the University of Southern California, Los Angeles
Simpkins, P. G.; Dudderar, T. D. 1978: Laser speckle measurements of transient Benard convection. J. Fluid Mech. 26, 2074–2079
Sinha, S. K. 1988: Improving the accuracy and resolution of particle image or laser speckle velocimetry. Exp. Fluids. 6, 67–68
Weinstein, L. M.; Beeler, G. B.; Lindemann, A. M. 1985: High speed holocinematographic velocimeter for studying turbulent flow control physics. AIAA Paper 85-0526
White, F. 1974: Viscous fluid flow. New York: McGraw Hill
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Currently at Sandia Natl. Labs., Albuquerque, NM, USA
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Sinha, S.K., Kuhlman, P.S. Investigating the use of stereoscopic particle streak velocimetry for estimating the three-dimensional vorticity field. Experiments in Fluids 12, 377–384 (1992). https://doi.org/10.1007/BF00193884
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DOI: https://doi.org/10.1007/BF00193884