Self-calibration performance in stereoscopic PIV acquired in a transonic wind tunnel

Three stereoscopic PIV experiments have been examined to test the effectiveness of self-calibration under varied circumstances. Measurements taken in a streamwise plane yielded a robust self-calibration that returned common results regardless of the specific calibration procedure, but measurements in the crossplane exhibited substantial velocity bias errors whose nature was sensitive to the particulars of the self-calibration approach. Self-calibration is complicated by thick laser sheets and large stereoscopic camera angles and further exacerbated by small particle image diameters and high particle seeding density. Despite the different answers obtained by varied self-calibrations, each implementation locked onto an apparently valid solution with small residual disparity and converged adjustment of the calibration plane. Therefore, the convergence of self-calibration on a solution with small disparity is not sufficient to indicate negligible velocity error due to the stereo calibration.

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

[2]  Bernhard Wieneke,et al.  Volume self-calibration for 3D particle image velocimetry , 2008 .

[3]  B. Wieneke PIV uncertainty quantification from correlation statistics , 2015 .

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

[5]  Katya M. Casper,et al.  Mitigation of wind tunnel wall interactions in subsonic cavity flows , 2014 .

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

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

[8]  Steven J. Beresh,et al.  Effects of Spatial Realignment in Stereo PIV Self-Calibration , 2014 .

[9]  Andrea Sciacchitano,et al.  Collaborative framework for PIV uncertainty quantification: the experimental database , 2015 .

[10]  Bernhard Wieneke,et al.  PIV uncertainty quantification by image matching , 2013 .

[11]  John F. Henfling,et al.  Relationship between Acoustic Tones and Flow Structure in Transonic Rectangular Cavity Flow , 2015 .

[12]  J. Wagner,et al.  Width Effects in Transonic Flow over a Rectangular Cavity , 2015 .

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

[14]  Scott Warner,et al.  Autocorrelation-based estimate of particle image density for diffraction limited particle images , 2014 .

[15]  Ajay K. Prasad,et al.  Stereoscopic particle image velocimetry , 2000 .

[16]  Pavlos P. Vlachos,et al.  Estimation of uncertainty bounds for individual particle image velocimetry measurements from cross-correlation peak ratio , 2013 .

[17]  Pavlos P. Vlachos,et al.  A method for automatic estimation of instantaneous local uncertainty in particle image velocimetry measurements , 2012 .

[18]  Sebastien Coudert,et al.  Back-projection algorithm with misalignment corrections for 2D3C stereoscopic PIV , 2001 .

[19]  Michel Stanislas,et al.  Main results of the third international PIV Challenge , 2008 .