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PIV measurement of flow around an arbitrarily moving body

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Abstract

This paper presents a PIV (particle image velocimetry) image processing method for measuring flow velocities around an arbitrarily moving body. This image processing technique uses a contour-texture analysis based on user-defined textons to determine the arbitrarily moving interface in the particle images. After the interface tracking procedure is performed, the particle images near the interface are transformed into Cartesian coordinates that are related to the distance from the interface. This transformed image always has a straight interface, so the interrogation windows can easily be arranged at certain distances from the interface. Accurate measurements near the interface can then be achieved by applying the window deformation algorithm in concert with PIV/IG (interface gradiometry). The displacement of each window is evaluated by using the window deformation algorithm and was found to result in acceptable errors except for the border windows. Quantitative evaluations of this method were performed by applying it to computer-generated images and actual PIV measurements.

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Abbreviations

A b :

Average intensity of the boundary region

A p :

Average intensity of the particle region

A avg :

Offset value for adjusting the average value of T to zero

β:

Bias error [pixels]

C :

Correlation coefficient

I:

Intensity field of the CCD recorded image

I′:

Transformed intensity field in the regularized coordinates

L :

Shooting distance in the prediction operation [pixels]

M (s, n):

Intensity map of the masking

P (Δ):

Probability function vertical to the inclined angle

θ :

Inclined angle of the texton

ρ :

Curvature radius of the interface [pixels]

ρ p :

Particle density of the synthetic images [particles/pixels2]

σ:

Random error [pixels]

T (i, j, θ):

Single texton with an inclined angle θ

t d :

Width of the interface imposed by the Gaussian distribution

t w :

Size of the square texton [pixels]

w x :

Wall-parallel size of the interrogation window [pixels]

w y :

Wall-normal size of the interrogation window [pixels]

References

  • Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698

    Article  Google Scholar 

  • Gui L, Wereley ST, Kim YH (2003) Advanced and applications of the digital mask technique in particle image velocimetry experiments. Meas Sci Technol 14:1820–1828

    Article  Google Scholar 

  • Huang HT, Fiedler HE, Wang JJ (1993) Limitation and improvement of PIV. Part II: particle image distortion, a novel technique. Exp Fluids 15:263–273

    Google Scholar 

  • Jambunathan K, Ju XY, Dobbins BN, Ashforth-Frost S (1995) An improved cross correlation technique for particle image velocimetry. Meas Sci Technol 6(5):507–514

    Article  Google Scholar 

  • Keane RD, Adrian RJ (1992) Theory of cross-correlation analysis of PIV images. Appl Sci Res 49:191–215

    Article  Google Scholar 

  • Kim BJ, Sung HJ (2006) A further assessment of interpolation schemes for window deformation in PIV. Exp Fluids 41:499–511

    Article  Google Scholar 

  • Malik J, Belongie S, Leung T, Shi J (2001) Contour and texture analysis for image segmentation. Int J Comput Vision 43(1):7–27

    Article  MATH  Google Scholar 

  • Nguyen CV, Wells JC (2006) Direct measurement of fluid velocity gradients at a wall by PIV image processing with stereo reconstruction. J Vis 9(2):199–208

    Article  Google Scholar 

  • Ronneberger O, Raffel M, Kompenhans J (1998) Advanced evaluation algorithm for standard and dual plane particle image velocimetry. In: International symposium on applications of laser techniques to fluid mechanics. Lisbon, Portugal

  • Scarano F (2002) Iterative image deformation methods in PIV. Meas Sci Technol 13:R1–R19

    Article  Google Scholar 

  • Theunissen R, Scarano F, Riethmuller ML (2008) On improvement of PIV image interrogation near stationary interfaces. Exp Fluids 45(4):557–572

    Article  Google Scholar 

  • Tsuei L, Savaş Ö (2000) Treatment of interfaces in particle image velocimetry. Exp Fluids 29:203–214

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by the Creative Research Initiatives (Center for Opto-Fluid-Flexible Body Interaction) of MEST/NRF.

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Correspondence to Hyung Jin Sung.

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Jeon, Y.J., Sung, H.J. PIV measurement of flow around an arbitrarily moving body. Exp Fluids 50, 787–798 (2011). https://doi.org/10.1007/s00348-010-0855-7

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  • DOI: https://doi.org/10.1007/s00348-010-0855-7

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