Flow rate estimation in large depth-of-field micro-PIV

In micro-Particle Image Velocimetry, the requirement of a large field-of-view often results in a large depth-of-correlation, i.e. large depth of the measurement volume. When the velocity varies substantially over the depth-of-correlation, special attention should be paid to a correct interpretation of the measured velocities. When a specialized microscope is needed to meet the requirements of a setup, the resulting more complex optical arrangements can have additional effects on the measurement results. In order to determine flow parameters such as the flow rate, it is sufficient to have a robust estimate of the maximum velocity when the flow is Poiseuille flow. In this paper, an interpretation of the results from particle image velocimetry measurements with low magnification in a round capillary is given for two types of microscopes: a conventional and a specialized microscope. The measured velocity appears to be lower than the maximum velocity, yet is still above the average velocity. The interpretation of the measured velocity differs for the two types of microscopes. The under-estimation of the maximum velocity obtained from the conventional microscope remains small (within 6%) for low-magnification measurements, while the under-estimation of the maximum velocity obtained from the specialized microscope increases up to 25% for a large depth-of-correlation. The images of the in- and out-of-focus particles turn out to play a crucial role in this difference between the two microscopes. Validation of the optical properties of a microscope is important, especially for specialized microscopes where particle images deviate substantially from the existing theory, and this theory is also used to derive the analytical expression for the depth-of-correlation. A procedure is recommended to obtain a correct interpretation of the measured velocity. This procedure is generally applicable, but mainly of importance for specialized microscopes.

[1]  Y. Sugii,et al.  In vivo PIV measurement of red blood cell velocity field in microvessels considering mesentery motion. , 2002, Physiological measurement.

[2]  M. G. Olsen,et al.  Directional dependence of depth of correlation due to in-plane fluid shear in microscopic particle image velocimetry , 2008 .

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

[4]  L. Lourenço Particle Image Velocimetry , 1989 .

[5]  Sang Joon Lee,et al.  Micro-PIV measurements of blood flow in extraembryonic blood vessels of chicken embryos , 2007, Physiological measurement.

[6]  Christian J. Kähler,et al.  On the effect of particle image intensity and image preprocessing on the depth of correlation in micro-PIV , 2012 .

[7]  L. Saetran,et al.  Selective seeding for micro-PIV , 2006 .

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

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

[10]  Jerry Westerweel,et al.  In vivo blood flow and wall shear stress measurements in the vitelline network , 2008 .

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

[12]  M. G. Olsen,et al.  The Depth of Correlation in Micro-PIV for High Numerical Aperture and Immersion Objectives , 2006 .

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

[14]  M. G. Olsen,et al.  Power-filter technique for modifying depth of correlation in microPIV experiments , 2004 .

[15]  R E Poelmann,et al.  Measurements of the wall shear stress distribution in the outflow tract of an embryonic chicken heart , 2010, Journal of The Royal Society Interface.

[16]  S. Wereley,et al.  The theory of diffraction-limited resolution in microparticle image velocimetry , 2003 .

[17]  Andreas Fouras,et al.  Volumetric correlation PIV: a new technique for 3D velocity vector field measurement , 2009 .

[18]  Jerry Westerweel,et al.  In vivo micro particle image velocimetry measurements of blood-plasma in the embryonic avian heart. , 2006, Journal of biomechanics.