Skip to main content
SpringerLink
Log in

Assessment of tomographic PIV in wall-bounded turbulence using direct numerical simulation data

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

Abstract

Simulations of tomographic particle image velocimetry (Tomo-PIV) are performed using direct numerical simulation data of a channel flow at Reynolds number of Re τ = 934, to investigate the influence of experimental parameters such as camera position, seeding density, interrogation volume size and spatial resolution. The simulations employ camera modelling, a Mie scattering illumination model, lens distortion effects and calibration to realistically model a tomographic experiment. Results are presented for camera position and orientation in three-dimensional space, to obtain an optimal reconstruction quality. Furthermore, a quantitative analysis is performed on the accuracy of first and second order flow statistics, at various voxel sizes normalised using the viscous inner length scale. This enables the result to be used as a general reference for wall-bounded turbulent experiments. In addition, a ratio relating seeding density and the interrogation volume size is proposed to obtain an optimal reference value that remains constant. This can be used to determine the required seeding density concentration for a certain interrogation volume size.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22

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 

  • Arroyo MP, Greated CA (1991) Stereoscopic particle image velocimetry. Meas Sci Technol 2:1181–1186

    Article  Google Scholar 

  • Atkinson C, Soria J (2009) An efficient simultaneous reconstruction technique for tomographic particle image velocimetry. Exp Fluids 47:553–568

    Article  Google Scholar 

  • Belden J, Truscott TT, Axiak MC, Techet AH (2010) Three-dimensional synthetic aperture particle image velocimetry. Meas Sci Technol 21(12):125403

    Article  Google Scholar 

  • Bohren CF, Huffman DR (1983) Absorption and scattering of light by small particles. Wiley, New York

    Google Scholar 

  • Chen T, Catrysse P, El Gamal A, Wandell B (2000) How small should pixel size be?. Proc SPIE 3965:451–461

    Article  Google Scholar 

  • Chin C, Hutchins N, Ooi A, Marusic I (2011) Spatial resolution correction for hot-wire anemometry in wall turbulence. Exp Fluids 50:1443–1453

    Article  Google Scholar 

  • del Alamo JC, Jimenez J, Zandonade P, Moser RD (2004) Scaling of the energy spectra of turbulent channels. J Fluid Mech 500:135–144

    Article  MATH  Google Scholar 

  • Elsinga GE, Scarano F, Wieneke B, van Oudheusden BW (2006) Tomographic particle image velocimetry. Exp Fluids 41:933–947

    Article  Google Scholar 

  • Fincham AM, Spedding GR (1997) Low cost, high resolution DPIV for measurement of turbulent fluid flow. Exp Fluids 23:449–462

    Article  Google Scholar 

  • Gui L, Merzkirch W (2000) A comparative study of the MQD method and several correlation-based PIV evaluation algorithms. Exp Fluids 28:36–44

    Article  Google Scholar 

  • Gui L, Longo J, Stern F (2001) Biases of PIV measurement of turbulent flow and the masked correlation-based interrogation algorithm. Exp Fluids 30:27–35

    Article  Google Scholar 

  • Hinsch KD (2002) Holographic particle image velocimetry. Meas Sci Technol 13:R61–R72

    Article  Google Scholar 

  • Hori T, Sakakibara J (2004) High-speed scanning stereoscopic PIV for 3D vorticity measurement in liquids. Meas Sci Technol 15:1067–1078

    Article  Google Scholar 

  • Hutchins N, Nickels TB, Marusic I, Chong MS (2009) Hot-wire spatial resolution issues in wall-bounded turbulence. J Fluid Mech 635:103–136

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  • Lecordier B, Westerweel J (2008) The EUROPIV synthetic image generator. Technical report

  • Lewis JP (1995) Fast normalized cross-correlation. Vision interface

  • Maas H, Gruen A, Papantoniou D (2004) Particle tracking velocimetry in three-dimensional flows. Exp Fluids 15:133–146

    Google Scholar 

  • Matzle C (2002) MATLAB functions for mie scattering and absorption. Technical report. Institute of Applied Physics, University of Bern

  • Overmars EFJ, Warncke NGW, Poelma C, Westerweel J (2010) Bias errors in piv: the pixel locking effect revisited. In: Proceedings of the 15th international symposium on applications of laser techniques to fluid mechanics

  • Phong BT (1975) Illumination for computer generated pictures. Commun ACM 18:311–317

    Article  Google Scholar 

  • Scarano F (2001) Iterative image deformation methods in PIV. Meas Sci Technol 13:R1–R19

    Article  Google Scholar 

  • Scarano F, Poelma C (2009) Three-dimensional vorticity patterns of cylinder wakes. Exp Fluids 47:69–83

    Article  Google Scholar 

  • Tropea C, Yarin AL, Foss JF (2007) Springer handbook of experimental fluid mechanics. Springer, New York

    Book  Google Scholar 

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

    Article  Google Scholar 

  • Westerweel J (2000) Theoretical analysis of the measurement precision in particle image velocimetry. Exp Fluids 29:S3–S12

    Article  Google Scholar 

  • Willert CE, Gharib M (1991) Digital particle image velocimetry. Exp Fluids 10:181–193

    Article  Google Scholar 

  • Worth NA, Nickels TB (2008) Acceleration of Tomo-PIV by estimating the initial volume intensity distribution. Exp Fluids 45:847–856

    Article  Google Scholar 

  • Worth NA, Nickels TB, Swaminathan N (2010) A tomographic PIV resolution study based on homogeneous isotropic turbulence DNS data. Exp Fluids 49:637–656

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of Melbourne, Melbourne, VIC, Australia

    C. M. de Silva, R. Baidya, M. Khashehchi & I. Marusic

Authors
  1. C. M. de Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. Baidya
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Khashehchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. I. Marusic
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to I. Marusic.

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Silva, C.M., Baidya, R., Khashehchi, M. et al. Assessment of tomographic PIV in wall-bounded turbulence using direct numerical simulation data. Exp Fluids 52, 425–440 (2012). https://doi.org/10.1007/s00348-011-1227-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00348-011-1227-7

Keywords

Search

Navigation