Skip to main content

Acoustic Velocity Estimation in the Presence of Steady Flow Using Particle Image Velocimetry

  • Conference paper
  • First Online:
Advances in Acoustics and Vibration IV (ICAV 2022)

Part of the book series: Applied Condition Monitoring ((ACM,volume 22))

Included in the following conference series:

  • 177 Accesses

Abstract

Phase-locked PIV measurement technique is used to estimate the acoustic velocity in the presence of turbulent flow inside a rectangular duct. The acoustic field is generated by compression drivers mounted on the sides of a rectangular duct. The PIV measurements are synchronized with the compression drivers. The measured velocity fields can be decomposed to mean flow velocity, turbulent fluctuations and acoustic velocity. A post-processing technique is proposed to extract the acoustic velocity field from the total measured velocity field. Also, the uncertainty of the estimated acoustic velocity is calculated using two different techniques, namely peak ratio method and particle disparity method. The estimated acoustic velocity agrees with the acoustic velocity estimated from classical microphone’s measurement technique. The estimated uncertainty of the acoustic velocity is found to be 18%.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Adrian, R.: Laser velocimetry. Fluid Mech. Measur. 43, 155–244 (1983)

    Google Scholar 

  2. Westerweel, J.: Fundamentals of digital particle image velocimetry. Measur. Sci. Technol. 8, 1379–1392 (1997). https://doi.org/10.1088/0957-0233/8/12/002

    Article  Google Scholar 

  3. Sharpe, J., Greated, C., Gray, C., Campbell, D.: The measurement of acoustic streaming using particle image velocimetry. Acta Acustica United Acustica 68, 168–172 (1989)

    Google Scholar 

  4. Hann, D., Greated, C.: The measurement of flow velocity and acoustic particle velocity using particle-image velocimetry. Measur. Sci. Technol. 8, 1517–1522 (1997). https://doi.org/10.1088/0957-0233/8/12/014

    Article  Google Scholar 

  5. Nabavi, M., Siddiqui, M., Dargahi, J.: Simultaneous measurement of acoustic and streaming velocities using synchronized PIV technique. Measur. Sci. Technol. 18, 1811–1817 (2007). https://doi.org/10.1088/0957-0233/18/7/003

    Article  Google Scholar 

  6. Léon, O., Piot, E., Sebbane, D., Simon, F.: Measurement of acoustic velocity components in a turbulent flow using LDV and high-repetition rate PIV. Exp. Fluids 58(6), 1–19 (2017). https://doi.org/10.1007/s00348-017-2348-4

    Article  Google Scholar 

  7. Prasad, A.: Particle image velocimetry. Curr. Sci. Assoc. Indian Acad. Sci. 79, 51–60 (2000)

    Google Scholar 

  8. Fischer, A., Sauvage, E., Röhle, I.: Acoustic PIV: measurements of the acoustic particle velocity using synchronized PIV-technique. In: 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, January 2008

    Google Scholar 

  9. Huang, H., Dabiri, D., Gharib, M.: On errors of digital particle image velocimetry. Measur. Sci. Technol. 8, 1427–1440 (1997). https://doi.org/10.1088/0957-0233/8/12/007

    Article  Google Scholar 

  10. Forliti, D., Strykowski, P., Debatin, K.: Bias and precision errors of digital particle image velocimetry. Exp. Fluids 28, 436–447 (2000). https://doi.org/10.1007/s003480050403

    Article  Google Scholar 

  11. Sciacchitano, A., et al.: Collaborative framework for PIV uncertainty quantification: comparative assessment of methods. Measur. Sci. Technol. 26, 074004 (2015). https://iopscience.iop.org/article/10.1088/0957-0233/26/7/074004

  12. Neal, D., Sciacchitano, A., Smith, B., Scarano, F.: Collaborative framework for PIV uncertainty quantification: the experimental database. Measur. Sci. Technol. 26, 074003 (2015). https://iopscience.iop.org/article/10.1088/0957-0233/26/7/074003

  13. Charonko, J., Vlachos, P.: Estimation of uncertainty bounds for individual particle image velocimetry measurements from cross-correlation peak ratio. Measur. Sci. Technol. 24(6), 17 (2013)

    Article  Google Scholar 

  14. Keane, R., Adrian, R.: Optimization of particle image velocimeters. I. Double pulsed systems. Measur. Sci. Technol. 1, 1202–1215 (1990). https://doi.org/10.1088/0957-0233/1/11/013

    Article  Google Scholar 

  15. Sciacchitano, A., Wieneke, B., Scarano, F.: PIV uncertainty quantification by image matching. Measur. Sci. Technol. 24(4), 17 (2013)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simon Rampnoux .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rampnoux, S., Ramadan, I., Moreau, S., Ben Tahar, M. (2023). Acoustic Velocity Estimation in the Presence of Steady Flow Using Particle Image Velocimetry. In: Akrout, A., Abdennadher, M., Feki, N., Abbes, M.S., Chaari, F., Haddar, M. (eds) Advances in Acoustics and Vibration IV. ICAV 2022. Applied Condition Monitoring, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-031-34190-8_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-34190-8_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34189-2

  • Online ISBN: 978-3-031-34190-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics