Comparison of PIV data using multiple configurations and processing techniques

Particle image velocimetry (PIV) data have been acquired using three different experimental configurations in the far-field of the interaction created by a transverse supersonic jet exhausting from a flat plate into a transonic crossflow. The configurations included two-component PIV in the centerline streamwise plane at two overlapping stations, as well as stereoscopic PIV in both the same streamwise plane and in the crossplane. All measurement planes intersected at a common line. Data from both two-component measurement stations and the stereoscopic streamwise configuration agreed to within the estimated uncertainty, but data from the crossplane exhibited reduced velocity and turbulent stress magnitudes by a small but significant degree. Subsequent reprocessing of the data in nominally the same manner using a newer software package brought all values into close agreement with each other, but produced substantially higher turbulent stresses. The error source associated with the choice of software was traced to the use of image deformation in the newer software to treat velocity gradients, which is shown by synthetic PIV tests to yield a more accurate result for turbulence measurements even for gradients within the recommended limits for classical PIV. These detailed comparisons of replicate data suggest that routine methods of uncertainty quantification used for a turbulent PIV experiment may not fully capture the actual error sources.

[1]  Nicholas J. Lawson,et al.  Three-dimensional particle image velocimetry: error analysis of stereoscopic techniques , 1997 .

[2]  R. Adrian,et al.  Stereoscopic particle image velocimetry applied to liquid flows , 1993 .

[3]  A. Prasad,et al.  Performance evaluation of a Scheimpflug stereocamera for particle image velocimetry. , 1997, Applied optics.

[4]  J. Nogueira,et al.  PIV evaluation algorithms for industrial applications , 2004 .

[5]  J. Westerweel Theoretical analysis of the measurement precision in particle image velocimetry , 2000 .

[6]  Michel Stanislas,et al.  Main results of the Second International PIV Challenge , 2005 .

[7]  K. Christensen The influence of peak-locking errors on turbulence statistics computed from PIV ensembles , 2004 .

[8]  B. Lecordier,et al.  Advanced PIV algorithms with Image Distortion Validation and Comparison using Synthetic Images of Turbulent Flow , 2004 .

[9]  John F. Henfling,et al.  Turbulent Characteristics of a Transverse Supersonic Jet in a Subsonic Compressible Crossflow , 2005 .

[10]  William L. Oberkampf,et al.  Experimental Methodology for Computational Fluid Dynamics Code Validation , 1998 .

[11]  Sang Joon Lee,et al.  Direct comparison of 2D PIV and stereoscopic PIV measurements , 2002 .

[12]  Richard D. Keane,et al.  Optimization of particle image velocimeters. I, Double pulsed systems , 1990 .

[13]  Fulvio Scarano,et al.  Advances in iterative multigrid PIV image processing , 2000 .

[14]  J. Westerweel Fundamentals of digital particle image velocimetry , 1997 .

[15]  Matthew F. Barone,et al.  Measures of agreement between computation and experiment: Validation metrics , 2004, J. Comput. Phys..

[16]  Z. C. Liu,et al.  Distortion compensation for generalized stereoscopic particle image velocimetry , 1997 .

[17]  John F. Henfling,et al.  Penetration of a Transverse Supersonic Jet into a Subsonic Compressible Crossflow , 2004 .

[18]  A. Melling Tracer particles and seeding for particle image velocimetry , 1997 .

[19]  S. Lele,et al.  Motion of particles with inertia in a compressible free shear layer , 1991 .

[20]  Thomas Leweke,et al.  Analysis and treatment of errors due to high velocity gradients in particle image velocimetry , 2003 .

[21]  Jerry Westerweel,et al.  Measurement Uncertainty of Stereoscopic-PIV for Flow with Large Out-of-plane Motion , 2004 .

[22]  H. E. Fiedler,et al.  Limitation and improvement of PIV , 1993 .

[23]  Fulvio Scarano,et al.  Theory of non-isotropic spatial resolution in PIV , 2003 .

[24]  Reijo Karvinen,et al.  A comparative study of five different PIV interrogation algorithms , 2005 .

[25]  Bernhard Wieneke,et al.  Stereo-PIV using self-calibration on particle images , 2005 .

[26]  Christian Willert,et al.  Stereoscopic Digital Particle Image Velocimetry for Application in Wind Tunnel Flows , 1997 .

[27]  A. Fincham,et al.  Advanced optimization of correlation imaging velocimetry algorithms , 2000 .

[28]  Tommaso Astarita,et al.  Analysis of interpolation schemes for image deformation methods in PIV , 2005 .

[29]  Richard D. Keane,et al.  Theory of cross-correlation analysis of PIV images , 1992 .

[30]  Ronald Adrian,et al.  Optimization of particle image velocimeters , 1990, Other Conferences.

[31]  Hugh W. Coleman,et al.  Uncertainties and CFD Code Validation , 1997 .

[32]  John F. Henfling,et al.  Crossplane Velocimetry of a Transverse Supersonic Jet in a Transonic Crossflow , 2006 .

[33]  F. Scarano Iterative image deformation methods in PIV , 2002 .