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Experiments in Fluids

, 55:1684 | Cite as

Color-coded three-dimensional micro particle tracking velocimetry and application to micro backward-facing step flows

  • Wei-Hsin Tien
  • Dana DabiriEmail author
  • Jay R. Hove
Research Article
Part of the following topical collections:
  1. Application of Laser Techniques to Fluid Mechanics 2012

Abstract

In this work, the authors proposed a microscopic particle tracking system based on the previous work (Tien et al. in Exp Fluids 44(6):1015–1026, 2008). A three-pinhole plate, color-coded by color filters of different wavelengths, is utilized to create a triple exposure pattern on the image sensor plane for each particle, and each color channel of the color camera acts as an independent image sensor. This modification increases the particle image density of the original monochrome system by three times and eliminates the ambiguities caused by overlap of the triangle exposure patterns. A novel lighting method and a color separation algorithm are proposed to overcome the measurement errors due to crosstalk between color filters. A complete post-processing procedure, including a cascade correlation peak-finding algorithm to resolve overlap particles, a calibration-based method to calculate the depth location based on epipolar line search method, and a vision-based particle tracking algorithm is developed to identify, locate and track the Lagrangian motions of the tracer particles and reconstruct the flow field. A 10X infinity-corrected microscope and back-lighted by three individual high power color LEDs aligning to each of the pinhole is used to image the flow. The volume of imaging is 600 × 600 × 600 μm3. The experimental uncertainties of the system verified with experiments show that the location uncertainties are less than 0.10 and 0.08 μm for the in-plane and less than 0.82 μm for the out-of-plane components, respectively. The displacement uncertainties are 0.62 and 0.63 μm for the in-plane and 0.77 μm for the out-of-plane components, respectively. This technique is applied to measure a flow over a backward-facing micro-channel flow. The channel/step height is 600/250 μm. A steady flow with low particle density and an accelerating flow with high particle density are measured and compared to validate the flow field resolved from a two-frame tracking method. The Reynolds number in the current work varies from 0.033 to 0.825. A total of 20,592 vectors are reconstructed by time-averaged tracking of 156 image pairs from the steady flow case, and roughly 400 vectors per image pair are reconstructed by two-frame tracking from the accelerating flow case.

Keywords

Particle Image Velocimetry Particle Image Color Channel Particle Location Particle Tracking Velocimetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors gratefully acknowledge the support of the National Institutes of Health (R01 RR023190-04) and the Murdock Trust Foundation.

References

  1. Adrian RJ, Westerweel J (2011) Particle image velocimetry. Cambridge University Press, CambridgeGoogle Scholar
  2. Angarita-Jaimes NC, McGhee E, Chennaoui M, Campbell HI, Zhang S, Towers CE, Greenaway AH, Towers DP (2006) Wavefront sensing for single view three-component three-dimensional flow velocimetry. Exp Fluids 41(6):881–891CrossRefGoogle Scholar
  3. Angarita-Jaimes NC, Roca MAG, Towers CE, Read ND, Towers DP (2009) Algorithms for the automated analysis of cellular dynamics within living fungal colonies. Cytom Part A 75A(9):768–780CrossRefGoogle Scholar
  4. Bown MR, MacInnes JM, Allen RWK, Zimmerman WBJ (2006) Three-dimensional, three-component velocity measurements using stereoscopic micro-PIV and PTV. Meas Sci Technol 17(8):2175–2185CrossRefGoogle Scholar
  5. Chen S, Angarita-Jaimes N, Angarita-Jaimes D, Pelc B, Greenaway AH, Towers CE, Lin D, Towers DP (2009) Wavefront sensing for three-component three-dimensional flow velocimetry in microfluidics. Exp Fluids 47(4–5):849–863CrossRefGoogle Scholar
  6. Chirokov A (2012) Scattered data interpolation and approximation using radial base functions. http://www.mathworks.com/matlabcentral/fileexchange/10056-scattered-data-interpolation-and-approximation-using-radial-base-functions
  7. Cierpka C, Segura R, Hain R, Kaehler CJ (2010) A simple single camera 3C3D velocity measurement technique without errors due to depth of correlation and spatial averaging for microfluidics. Meas Sci Technol 21(4):045401CrossRefGoogle Scholar
  8. Cierpka C, Rossi M, Segura R, Kaehler CJ (2011) On the calibration of astigmatism particle tracking velocimetry for microflows. Meas Sci Technol 22(1):015401CrossRefGoogle Scholar
  9. Duncan J, Dabiri D, Hove J, Gharib M (2010) Universal outlier detection for particle image velocimetry (PIV) and particle tracking velocimetry (PTV) data. Meas Sci Technol 21(5):057002CrossRefGoogle Scholar
  10. Grothe R, Rixon G, Dabiri D (2008) An improved three-dimensional characterization of defocusing digital particle image velocimetry (DDPIV) based on a new imaging volume definition. Meas Sci Technol 19:065402CrossRefGoogle Scholar
  11. Kajitani L, Dabiri D (2005) A full three-dimensional characterization of defocusing digital particle image velocimetry. Meas Sci Technol 16(3):790–804CrossRefGoogle Scholar
  12. Lei Y, Tien W, Duncan J, Paul M, Dabiri D, Rösgen T, Hove J (2012) A vision-based hybrid particle tracking velocimetry (PTV) technique using a modified cascade-correlation peak-finding method. Exp Fluids 53(5):1251–1268CrossRefGoogle Scholar
  13. Lindken R, Westerweel J, Wieneke B (2006) Stereoscopic micro particle image velocimetry. Exp Fluids 41(2):161–171CrossRefGoogle Scholar
  14. Luo R, Sun Y (2011) Pattern matching for three-dimensional tracking of sub-micron fluorescent particles. Meas Sci Technol 22(4):045402CrossRefMathSciNetGoogle Scholar
  15. Luo R, Yang XY, Peng XF, Sun YF (2006) Three-dimensional tracking of fluorescent particles applied to micro-fluidic measurements. J Micromech Microeng 16(8):1689–1699CrossRefGoogle Scholar
  16. Maas HG, Gruen A, Papantoniou D (1993) Particle tracking velocimetry in 3-dimensional flows. 1. Photogrammetric determination of particle coordinates. Exp Fluids 15(2):133–146CrossRefGoogle Scholar
  17. Ooms TA, Lindken R, Westerweel J (2009) Digital holographic microscopy applied to measurement of a flow in a T-shaped micromixer. Exp Fluids 47(6):941–955CrossRefGoogle Scholar
  18. Park JS, Kihm KD (2006) Three-dimensional micro-PTV using deconvolution microscopy. Exp Fluids 40(3):491–499CrossRefGoogle Scholar
  19. Pereira F, Gharib M (2002) Defocusing digital particle image velocimetry and the three-dimensional characterization of two-phase flows. Meas Sci Technol 13(5):683–694CrossRefGoogle Scholar
  20. Pereira F, Gharib M, Dabiri D, Modarress D (2000) Defocusing digital particle image velocimetry: a 3-component 3-dimensional DPIV measurement technique. Application to bubbly flows. Exp Fluids 29:S78–S84CrossRefGoogle Scholar
  21. Pereira F, Lu J, Castano-Graff E, Gharib M (2007) Microscale 3D flow mapping with mu DDPIV. Exp Fluids 42(4):589–599CrossRefGoogle Scholar
  22. Peterson SD, Chuang H, Wereley ST (2008) Three-dimensional particle tracking using micro-particle image velocimetry hardware. Meas Sci Technol 19(11):115406CrossRefGoogle Scholar
  23. Richards JA, Jia X (1999) Remote sensing digital image analysis: an introduction. Springer, BerlinCrossRefGoogle Scholar
  24. Santiago J, Wereley S, Meinhart C, Beebe D, Adrian R (1998) A particle image velocimetry system for microfluidics. Exp Fluids 25(4):316–319CrossRefGoogle Scholar
  25. Satake S, Kunugi T, Sato K, Ito T, Kanamori H, Taniguchi J (2006) Measurements of 3D flow in a micro-pipe via micro digital holographic particle tracking velocimetry. Meas Sci Technol 17(7):1647–1651CrossRefGoogle Scholar
  26. Scott GL, Longuet-higgins HC (1991) An algorithm for associating the features of 2 images. Proc R Soc Lond Ser B Biol Sci 244(1309):21–26CrossRefGoogle Scholar
  27. Sheng J, Malkiel E, Katz J (2006) Digital holographic microscope for measuring three-dimensional particle distributions and motions. Appl Opt 45(16):3893–3901CrossRefGoogle Scholar
  28. Tien W-H, Kartes P, Yamasaki T, Dabiri D (2008) A color-coded backlighted defocusing digital particle image velocimetry system. Exp Fluids 44(6):1015–1026CrossRefGoogle Scholar
  29. Towers CE, Towers DP, Campbell HI, Zhang SJ, Greenaway AH (2006) Three-dimensional particle imaging by wavefront sensing. Opt Lett 31(9):1220–1222CrossRefGoogle Scholar
  30. Willert CE, Gharib M (1992) Three-dimensional particle imaging with a single camera. Exp Fluids 12:353–358CrossRefGoogle Scholar
  31. Yoon SY, Kim KC (2006) 3D particle position and 3D velocity field measurement in a microvolume via the defocusing concept. Meas Sci Technol 17(11):2897–2905CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Aeronautics and AstronauticsUniversity of WashingtonSeattleUSA
  2. 2.Department of Molecular and Cellular PhysiologyUniversity of CincinnatiCincinnatiUSA

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