Skip to main content
Log in

Modeling and correction of peak-locking in digital PIV

  • Research Article
  • Published:
Experiments in Fluids Aims and scope Submit manuscript

Abstract

The systematic tendency of PIV evaluations to bias towards integral pixel values is known as peak-locking. These errors, although small, significantly affect the statistics extracted from such measurements. In this paper, the process by which such errors accrue is modeled, and a scheme for the removal of the same is suggested. Specifically, the modeling process considers FFT PIV with discrete window offset. The results are applied to actual situations and the results are found to be encouraging. The process is computationally inexpensive, and can be applied as a post processing technique to existing data to correct peak-locking.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Adrian RJ (1991) Particle-imaging techniques for experimental fluid mechanics. Ann Rev Fluid Mech 23:261–304

    Article  Google Scholar 

  • Angele KP, Muhammad-Klingmann B (2005) A simple model for the effect of peak-locking on the accuracy of boundary layer turbulent statistics in digital piv. Exp Fluids 38:341–347

    Article  Google Scholar 

  • Chen J, Katz J (2005) Elimination of peak-locking error in piv analysis using the correlation mapping method. Meas Sci Technol 16:1605–1618

    Article  Google Scholar 

  • Cholemari MR (2004) Buoyancy driven turbulence in a vertical pipe. Ph.D. Thesis, Department of mechanical engineering, Indian Institute of Science

  • Cholemari MR, Arakeri JH (2005) Experiments and a model of turbulent exchange flow in a vertical pipe. Int J Heat Mass Transfer 48:4467–4473

    Article  Google Scholar 

  • Christensen KT (2004) On the influence of peaklocking errors on turbulence statistics compared from piv ensembles. Exp Fluids 36(3):484–497

    Article  Google Scholar 

  • Gui L, Wereley S (2002) A correlation-based continuous window-shift technique to reduce the peak-locking effect in digital piv image evaluation. Exp Fluids 32:506–517

    Article  Google Scholar 

  • Huang H, Dabiri D, Gharib M (1997) On the errors of digital particle image velocimetry. Meas Sci Technol 8:1427–1440

    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 

  • Lecordier B, Demare D, Vervisch LMJ, Réveillon J, Trinité M (2001) Estimation of the accuracy of piv treatments for turbulent flow studies by direct numerical simulation of multi-phase flow. Meas Sci Technol 12(1382–1391)

  • Liao Q, Cowen EA (2005) An efficient anti-aliasing spectral continuous window shifting technique for piv. Exp Fluids 38:197–208

    Article  Google Scholar 

  • Nogueira J, Lecuona A, Rodriguez PA (2001) Identification of a new source of peak locking and its removal in conventional and super-resolution piv techniques. Exp Fluids 30:309–316

    Article  Google Scholar 

  • Piirto M, Eloranta H, Saarenrinne P, Karvinen R (2005) A comparative study of five different piv interrogation algorithms. Exp Fluids 39:571–588

    Article  Google Scholar 

  • Pope SB (2000) Turbulent flows. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Prasad AK (2000) Particle image velocimetry. Curr Sci 79:51–60

    Google Scholar 

  • Prasad AK, Adrian RJ, Landreth CC, Offutt PW (1992) Effect of resolution on the speed and accuracy of particle image velocimetry interrogation. Exp Fluids 13:105–116

    Article  Google Scholar 

  • Raffel M, Willert CE, Kompenhans J (1998) Particle image velocimetry. Springer, Heidelberg

  • Roesgen T (2003) Optimal subpixel interpolation in particle image velocimetry. Exp Fluids 35:252–256

    Article  Google Scholar 

  • Roth GI, Katz J (2001) Five techniques for increasing the speed and accuracy of piv interrogation. Meas Sci Technol 12:238–245

    Article  Google Scholar 

  • Saddoughi SG, Veeravalli SV (1994) Local isotropy in turbulent boundary layers at high reynolds number. J Fluid Mech 268:333–372

    Article  Google Scholar 

  • Scarano F, Reithmuller ML (2000) Advances in iterative multigrid piv image processing. Exp Fluids [suppl], pp S51–S60

  • Westerweel J (1997) Fundamentals of digital particle image velocimetry. Meas Sci Tech 8:1379–1392

    Article  Google Scholar 

  • Westerweel J (2000a) Effect of sensor geometry on the performance of piv interrogation. In: Adrian RJ, Durao DFG, Durst F, Heitor MV, Maeda M, Whitelaw JH (eds) Laser techniques applied to fluid mechanics. Springer, Heidelberg, pp 37–55

  • Westerweel J (2000b) Theoretical analysis of the measurement precision in particle image velocimetry. Exp Fluids [suppl], pp s3–s12

  • Westerweel J, Dabiri D, Gharib M (1997) The effect of a descrete window offset on the accuracy of cross-correlation analysis of digital PIV recordings. Exp Fluids 23:20–28

    Article  Google Scholar 

Download references

Acknowledgments

The author gratefully acknowledges Prof. Ajay K. Prasad and Dr. K. R. Sreenivas for discussions on PIV and Prof. Jaywant H. Arakeri for technical discussions. Financial support from Naval Research Board through scheme NRB006 is acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Murali R. Cholemari.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cholemari, M.R. Modeling and correction of peak-locking in digital PIV. Exp Fluids 42, 913–922 (2007). https://doi.org/10.1007/s00348-007-0300-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00348-007-0300-8

Keywords

Navigation