Volumetric correlation PIV: a new technique for 3D velocity vector field measurement

A method is proposed that allows three-dimensional (3D) two-component measurements to be made by means of particle image velocimetry (PIV) in any volume illuminated over a finite thickness. The method is based on decomposing the cross-correlation function into various contributions at different depths. Because the technique is based on 3D decomposition of the correlation function and not reconstruction of particle images, there is no limit to particle seeding density as experienced by 3D particle tracking algorithms such as defocusing PIV and tomographic PIV. Correlations from different depths are differentiated by the variation in point spread function of the lens used to image the measurement volume over that range of depths. A number of examples are demonstrated by use of synthetic images which simulate micro-PIV (μPIV) experiments. These examples vary from the trivial case of Couette flow (linear variation of one velocity component over depth) to a general case where both velocity components vary by different complex functions over the depth. A final validation—the measurement of a parabolic velocity profile over the depth of a microchannel flow—is presented. The same method could also be applied using a thick light sheet in macro-scale PIV and in a stereo configuration for 3D three-component PIV.

[1]  Bernhard Wieneke,et al.  Tomographic particle image velocimetry , 2006 .

[2]  Joseph Katz,et al.  Turbulent flow measurement in a square duct with hybrid holographic PIV , 1997 .

[3]  M. G. Olsen,et al.  Out-of-plane motion effects in microscopic particle image velocimetry , 2003 .

[4]  Donald H. Barnhart,et al.  Phase-conjugate holographic system for high-resolution particle-image velocimetry. , 1994, Applied optics.

[5]  Clive A. Greated,et al.  Stereoscopic particle image velocimetry , 1991 .

[6]  Andreas Fouras,et al.  Target-free Stereo PIV: a novel technique with inherent error estimation and improved accuracy , 2008 .

[7]  M. G. Olsen,et al.  Validation of an analytical solution for depth of correlation in microscopic particle image velocimetry , 2004 .

[8]  Francisco Pereira,et al.  Defocusing digital particle image velocimetry: a 3-component 3-dimensional DPIV measurement technique. Application to bubbly flows , 2000 .

[9]  S. Wereley,et al.  A PIV Algorithm for Estimating Time-Averaged Velocity Fields , 2000 .

[10]  Christian J. Kähler,et al.  Investigation of the spatio-temporal flow structure in the buffer region of a turbulent boundary layer by means of multiplane stereo PIV , 2004 .

[11]  Jaesung Park,et al.  Three-dimensional micro-PTV using deconvolution microscopy , 2006 .

[12]  R. Adrian,et al.  Pulsed laser technique application to liquid and gaseous flows and the scattering power of seed materials. , 1985, Applied optics.

[13]  R. Adrian,et al.  Out-of-focus effects on particle image visibility and correlation in microscopic particle image velocimetry , 2000 .

[14]  H. Schlichting Boundary Layer Theory , 1955 .

[15]  Andreas Fouras,et al.  Three-dimensional synchrotron x-ray particle image velocimetry , 2007 .

[16]  Andreas Fouras,et al.  A simple calibration technique for stereoscopic particle image velocimetry , 2007 .

[17]  Anna I Hickerson,et al.  The Embryonic Vertebrate Heart Tube Is a Dynamic Suction Pump , 2006, Science.

[18]  Franck Plouraboué,et al.  Weak-inertial flow between two rough surfaces , 2005 .

[19]  C. Willert,et al.  Three-dimensional particle imaging with a single camera , 1992 .

[20]  J. Kompenhans,et al.  Investigation of a turbulent spot using multi-plane stereo particle image velocimetry , 2004 .

[21]  R. Adrian,et al.  Brownian motion and correlation in particle image velocimetry , 2000 .

[22]  S. Wereley,et al.  Volume illumination for two-dimensional particle image velocimetry , 2000 .

[23]  Ronald Adrian,et al.  Phase-conjugate holographic system for high-resolution particle image velocimetry through thick-walled curved windows , 1995, Optics & Photonics.