Skip to main content

Advertisement

SpringerLink
Log in

Development of multi-cycle rainbow particle tracking velocimetry improved by particle defocusing technique and an example of its application on twisted Savonius turbine

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

Abstract

Rainbow particle tracking velocimetry (PTV) is a PTV method that enables three-dimensional (3D) three-component flow measurement using a single camera. Despite the advantage of its simple setup, the accuracy of the particle depth is restricted due to false color caused by image sensor arrays, such as Bayer arrangement. Since the false color occurs near sharp edges in the color gradient of in-focus individual particle images, we here introduced a defocusing technique to rainbow PTV to remove these false colors. Defocusing led to moon-shaped distorted particle images, which we applied an adaptive mask correlation technique to detect. Multi-cycle rainbow illumination was realized as an additional improvement on the defocusing technique. In particular, individual particle coordinates were obtained by a combination of the color and constitution of pixels. This dramatically increased the depth resolution of the 3D particle tracking. The feasibility of the proposed method was demonstrated by a flow driven by rotating impellers and a wake behind a twisted Savonius turbine. By the demonstration, it is confirmed that the twisted turbine suppresses the loss of kinetic energy by shedding streamwise vortices in the wake.

Graphic abstract

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  • Adrian R (2005) Twenty years of particle image velocimetry. Exp Fluids 39:159–169

    Article  Google Scholar 

  • Aguirre-Pablo AA, Alarfaj MK, Li EQ, Hernandez-Sanchez JF, Thoroddsen ST (2017) Tomographic particle image velocimetry using smartphones and colored shadows. Sci Rep 7:3714

    Article  Google Scholar 

  • Aguirre-Pablo AA, Aljedaani AB, Xiong J, Idoughi R, Heidrich W, Thoroddsen ST (2019) Single-camera 3D PTV using particle intensities and structured light. Exp Fluids 60:25

    Article  Google Scholar 

  • Barnkob R, Rossi M (2020) General defocusing particle tracking: fundamentals and uncertainty assessment. Exp Fluids 61:110

    Article  Google Scholar 

  • Barnkob R, Kähler CJ, Rossi M (2015) General defocusing particle tracking. Lab Chip 15:3556–3560

    Article  Google Scholar 

  • Bendicks C, Tarlet D, Roloff Cm Bordas R, Wunderlich B, Michaelis B, Thevenin D (2011) Improved 3-D particle tracking velocimetry with colored particles. J Signal Info Processing 2:59–71

    Article  Google Scholar 

  • Brucker C (1996) 3-D PIV via spatial correlation in a color-coded light-sheet. Exp Fluids 31:312–314

    Article  Google Scholar 

  • Busin L, Vandenbroucke N, Macaire L (2008) Color spaces and image segmentation. Adv Imaging Electron Phys 151:65–168

    Article  Google Scholar 

  • Charonko JJ, Antoine E, Vlachos PP (2014) Multispectral processing for color particle image velocimetry. Microfluid Nanofluid 17:729–743

    Article  Google Scholar 

  • Damak A, Driss Z, Abid MS (2013) Experimental investigation of helical Savonius rotor with a twist of 180. Renew Energy 52:136–142

    Article  Google Scholar 

  • Fahringer TW, Lynch KP, Thurow BS (2015) Volumetric particle image velocimetry with a single plenoptic camera. Meas Sci Techol 26:115201

    Article  Google Scholar 

  • Funatani S, Takeda T, Toriyama K (2013) High-resolution three-color PIV technique using a digital SLR camera. J Flow Vis Image Processing 20:35–45

    Article  Google Scholar 

  • Gogineni S, Goss L, Pestian D, River R (1998) Two-color digital PIV employing a single CCD camera. Exp Fluids 25:320–328

    Article  Google Scholar 

  • Ido T, Murai Y (2006) A recursive interpolation algorithm for particle tracking velocimetry. Flow Meas Instrum 17:267–275

    Article  Google Scholar 

  • Ido T, Murai Y, Yamamoto F (2002) Postprocessing algorithm for particle tracking velocimetry based on ellipsoidal equations. Exp Fluids 32:326–336

    Article  Google Scholar 

  • Ishikawa M (2019) High-speed image processing devices and its applications. In: 2019 IEEE Int Elec Dev Meet, pp 10.7.1–10.7.4

  • Janke T, Schwarze R, Katrin B (2017) Measuring three-dimensional flow structures in the conductive airways using 3D-PTV. Exp Fluids 58:133

    Article  Google Scholar 

  • Kagami S, Hashimoto K (2018) A full-color single-chip-DLP projector with an embedded 2400-fps homography warping engine. In: ACM SIGGRAPH 2018 Emerging Technol: Article No. 1

  • Kanda T, Murai Y, Tasaka Y, Takeda Y (2007) Dynamics and optics of bubble tracking velocimetry for airflow measurement. In: Proc ASME/JSME 2007 5th joint fluids eng conf, San Diego, California, USA, pp 679–686

  • Kasagi N, Sumitani Y, Suzuki Y, Iida O (1995) Kinematics of the quasi-coherent vortical structure in near-wall turbulence. Int J Heat Fluid Flow 16:2–10

    Article  Google Scholar 

  • Kawaguchi T, Akasaka Y, Maeda M (2002) Size measurements of droplets and bubbles by advanced interferometric laser imaging technique. Meas Sci Tech 13(3):308–316

    Article  Google Scholar 

  • Kelvin L (1987) On vortex atoms. Proc R Soc Edinb 6:94–105

    Google Scholar 

  • Lee SJ, Yoon GY, Go T (2019) Deep learning-based accurate and rapid tracking of 3D positional information of microparticles using digital holographic microscopy. Exp Fluids 60:170

    Article  Google Scholar 

  • Matsushita H, Mochizuki T, Kaji N (2004) Calibration scheme for three-dimensional particle tracking with a prismatic light. Rev Sci Instrum 75:541

    Article  Google Scholar 

  • McGregor TJ, Spence DJ, Coutts DW (2007) Laser-based volumetric colour-coded three-dimensional particle velocimetry. Opt Lasers Eng 45:882–889

    Article  Google Scholar 

  • Menser J, Schneider F, Dreier T, Kaiser SA (2018) Multi-pulse shadowgraphic RGB illumination and detection for flow tracking. Exp Fluids 59:90

    Article  Google Scholar 

  • Murai Y, Matsumoto Y, Yamamoto F (2001) Three-dimensional measurement of void fraction in a bubble plume using statistic stereoscopic image processing. Exp Fluids 30:11–21

    Article  Google Scholar 

  • Murai Y, Nkada T, Suzuki T, Yamamoto F (2007) Particle tracking velocimetry applied to estimate the pressure field around a Savonius turbine. Meas Sci Techol 18:2491–2503

    Article  Google Scholar 

  • Park HJ, Saito D, Tasaka Y, Murai Y (2019) Color-coded visualization of microbubble clouds interacting with eddies in a spatially developing turbulent boundary layer. Exp Therm Fluid Sci 109:109919

    Article  Google Scholar 

  • Pick S, Lehmann FO (2009) Stereoscopic PIV on multiple color-coded light sheets and its application to axial flow in flapping robotic insect wings. Exp Fluids 47:1009–1023

    Article  Google Scholar 

  • Post ME, Trump DD, Goss LP, Hancock RD (1994) Two-color particle-imaging velocimetry using a single argon-ion laser. Exp Fluids 16:263–272

    Article  Google Scholar 

  • Prenel JP, Bailly Y (2006) Recent evolutions of imagery in fluid mechanics: from standard tomographic visualization to 3D volume velocimetry. Opt Lasers Eng 44:321–334

    Article  Google Scholar 

  • Saha UK, Rajkumar MJ (2006) On the performance analysis of Savonius rotor with twisted blades. Renew Energy 31:1776–1788

    Article  Google Scholar 

  • Scarano F (2013) Tomographic PIV: Principles and practice. Meas Sci Technol 24:012001

    Article  Google Scholar 

  • Schultz J, Skews B, Filippi A (2019) Flow visualization using a Sanderson prism. J Vis 22:1–13

    Article  Google Scholar 

  • Takehara K, Etoh T (1999) A study on particle identification in PTV—Particle mask correlation method. J Vis 1:313–323

    Article  Google Scholar 

  • Tien WH, Dabiri D, Hove JR (2014) Color-coded three-dimensional micro particle tracking velocimetry and application to micro backward-facing step flows. Exp Fluids 55:1684

    Article  Google Scholar 

  • Udrea DD, Bryanston-Cross PJ, Lee WK, Funes-Gallanzi M (1996) Two sub-pixel processing algorithms for high accuracy particle centre estimation in low seeding density particle image velocimetry. Opt Laser Technol 28:389–396

    Article  Google Scholar 

  • Walpot RJE, Rosielle PCJN, van der Geld CWM (2006) Design of a set-up for high-accuracy 3D PTV measurements in turbulent pipe flow. Meas Sci Technol 17:3015–3026

    Article  Google Scholar 

  • Wang H, Wang G, Li X (2018) High-performance color sequence particle streak velocimetry for 3D airflow measurement. Appl Opt 57:1518

    Article  Google Scholar 

  • Watamura T, Tasaka Y, Murai Y (2013) LCD-projector-based 3D color PTV. Exp Thermal Fluid Sci 47:68–80

    Article  Google Scholar 

  • Willert CE, Gharib M (1992) Three-dimensional particle imaging with a single camera. Exp Fluids 12:353–358

    Article  Google Scholar 

  • Xiong J, Idoughi R, Aguirre-Pablo AA, Aljedaani AB, Dun X, Fu Q, Thoroddsen ST, Heidrich W (2017) Rainbow particle imaging velocimetry for dense 3D fluid velocity imaging. ACM Trans Graph (TOG) 36:36

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by research funding from Hokkaido Gas Co., Ltd.

Author information

Authors and Affiliations

  1. Laboratory for Flow Control, Division of Mechanical and Aerospace Engineering, Faculty of Engineering, Hokkaido University, N13 W8, Kita-ku, Sapporo, 060-8628, Japan

    Hyun Jin Park, Shunta Yamagishi, Susumu Osuka, Yuji Tasaka & Yuichi Murai

Authors
  1. Hyun Jin Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shunta Yamagishi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Susumu Osuka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuji Tasaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yuichi Murai
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hyun Jin Park.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, H.J., Yamagishi, S., Osuka, S. et al. Development of multi-cycle rainbow particle tracking velocimetry improved by particle defocusing technique and an example of its application on twisted Savonius turbine. Exp Fluids 62, 71 (2021). https://doi.org/10.1007/s00348-021-03179-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00348-021-03179-7

Search

Navigation