Skip to main content

Micron-Resolution Particle Image Velocimetry

  • Chapter
Microscale Diagnostic Techniques

Abstract

During the past five years, significant progress has been made in the development and application of micron-resolution Particle Image Velocimetry (µPIV). Developments of the technique have extended typical spatial resolutions of PIV from order 1-mm to order 1-µm. These advances have been obtained as a result of novel improvements in instrument hardware and post processing software.

Theories describing the limits of in-plane and out-of-plane spatial resolution are presented. The basis of the theory for in-plane spatial resolution extends the original work of Adrian & Yao (1985). The theory for out-of-plane spatial resolution closely follows the recent work of Olsen & Adrian (2000).

The desire for high spatial resolution dictates that the flow tracing particles typically range between 200 – 700 nm in diameter. The effect of Brownian forces on particle motion is discussed in detail. Guidelines are given to determine optimal particle size and to estimate particle flow following fidelity.

Advances in post processing algorithms provide improvements in velocity accuracy and spatial resolution. The correlation-averaging algorithm increases the effective particle concentration, while maintaining sufficiently low particle concentration in the working fluid. Central difference interrogation provides second order accurate estimates of velocity, which becomes important in regions containing high spatial variations in velocity. These post-processing techniques are particularly useful in challenging micro length scales, and can also be extended to macroscopic flows.

The utility of µPIV is demonstrated by applying it to flows in microchannels, micronozzles, BioMEMS, and flow around cells. While the technique was initially developed for microscale velocity measurements, it has been extended to measure wall positions with tens of nanometers resolution, the deformation of hydrogels, micro-particle thermometry, and infrared-PIV.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adrian RJ (1991) Particle-imaging techniques for experimental fluid mechanics. Annual Review of Fluid Mechanics, 23, 261–304

    Article  Google Scholar 

  • Adrian RJ, Yao CS (1985) Pulsed laser technique application to liquid and gaseous flows and the scattering power of seed materials. Applied Optics, 24, 44–52

    Article  Google Scholar 

  • Batchelor, GK, (1987), An introduction to fluid dynamics, Cambridge University Press.

    Google Scholar 

  • Beebe, DJ, Moore, JS, Bauer, JM, Yu, Q, Liu, RH, Devadoss, C, and Jo, BH (2000) Functional hydrogel structures for autonomous flow control inside microfluidic channels. Nature, 404, 588–590.

    Article  Google Scholar 

  • Bendat JS and Piersol JG (1986) Random data: analysis and measurement procedures. Wiley, New York

    MATH  Google Scholar 

  • Beskok, A, Karniadakis, GE, and Trimmer, W (1996). “Rarefaction and Compressibility.” Journal of Fluids Engineering 118: 448–456.

    Google Scholar 

  • Born, M & Wolf E (1997) Principles of Optics. Pergamon Press.

    Google Scholar 

  • Chandrasekhar S (1941) Stochastic problems in physics and astronomy. Review of Modern Physics, 15, 1–89

    Google Scholar 

  • Cowen, EA and Monismith, SG, (1997), ‘A hybrid digital particle tracking velocimetry technique,’ Exp. Fluids, Vol. 22, pp. 199–211.

    Article  Google Scholar 

  • Deen, W (1998) Analysis of Transport Phenomena. pp. 268–270 New York, Oxford University Press.

    Google Scholar 

  • Detlefs, B (1999) MicroElectroMechanical Systems (MEMS), An SPC Market Study, System Planning Corporation, Arlington, Virginia.

    Google Scholar 

  • Devasenathipathy, S, Santiago, JG, Wereley, ST, Meinhart, CD, and Takehara, K (2003) Particle Tracking Techniques for Microfabricated Fluidic Systems. Exp. Fluids, 34: pp. 504–514.

    Google Scholar 

  • Edwards R, Angus J, French M, Dunning J (1971) Spectral analysis from the laser Doppler flowmeter: time-independent systems. Journal of Applied Physics, 42, 837–850

    Google Scholar 

  • Einstein A. (1905) On the Movement of Small Particles Suspended in a Stationary Liquid Demanded by the Molecular-Kinetic Theory of Heat. In: Theory of Brownian Movement. Dover Publications, Inc, New York, pp. 1–18

    Google Scholar 

  • Gad-el-Hak M (1999) The Fluid Mechanics of Microdevices — The Freeman Scholar Lecture, J. Fluids. Eng. 121, pp. 5–33.

    Google Scholar 

  • Gomez, R., Bashir, R., Sarakaya, A., Ladisch, M.R., Sturgis, J., Robinson, J.P., Geng, T., Bhunia, A.K., Apple, H.L., and Wereley, S.T., “Microfluidic Biochip for Impedance Spectroscopy of Biological Species,” Biomedical Microdevices, Vol. 3, No. 3, 201–209 (2001).

    Google Scholar 

  • Gui L, Merzkirch W, Shu JZ 1997, Evaluation of low image density PIV recordings with the MQD method and application to the flow in a liquid bridge. J. Flow Vis. and Image Proc., Vol. 4, No. 4, pp. 333–343

    Google Scholar 

  • Han, GX., Bird, JC, Westin, JK, Cao, ZQ, and Breuer, KS (2004) Infrared Diagnostics for measuring fluid and solid motion inside silicon microdevices. Microscale Thermophysical Engineering, 8, p 169–182

    Google Scholar 

  • Hohreiter, V, Wereley, ST, Olsen, MG, Chung, JN, (2002) Cross-correlation analysis for temperature measurement Meas. Sci. Technol. 13, pp. 1072–1078.

    Article  Google Scholar 

  • Inoué, S & Spring, KR (1997) Video Microscopy, Second Edition, Plenum Press.

    Google Scholar 

  • Kataoka, K., Miyazaki, H., Bunya, M., Okano, T. and Sakurai, Y. (1998) Totally Synthetic Polymer Gels Responding to External Glucose Concentration: Their Preparation and Application to On-Of Regulation of Insulin Release. J. Am. Chem. Soc., 120: 12694–5.

    Article  Google Scholar 

  • Keane RD, Adrian RJ (1992) Theory of cross-correlation analysis of PIV images. Applied Scientific Research, 49, 1–27

    Article  Google Scholar 

  • Koutsiaris, AG, Mathioslakis, DS & Tsangaris, S (1999) Microscope PIV for velocity-field measurement of particle suspensions flowing inside class capillaries, Meas. Sci. Technol. 10, pp. 1037–1046.

    Article  Google Scholar 

  • Liu, R, Yu, Q, Bauer, JM, Jo, BH, Moore, JS and Beebe, DJ (2000) In-channel processing to create autonomous hydrogel microvalves. In: Micro Total Analysis Systems 2000, (ed. A. van den Berg et al.) pp. 45–48, Netherlands: Kluwer Academic.

    Google Scholar 

  • Madou, M He, K and Shenderova, A (2000) Fabrication of artificial muscle based valves for controlled drug delivery. In: Micro Total Analysis Systems 2000, (ed. A. van den Berg et al.) pp. 147–150, Netherlands: Kluwer Academic.

    Google Scholar 

  • Meinhart CD & Zhang HS (2000) The flow structure inside a microfabricated inkjet printhead. Journal of MEMS Vol. 9, (no.1) IEEE March 2000, pp. 67–75.

    Google Scholar 

  • Meinhart CD, Gray MHB, Wereley ST (1999a), PIV Measurements of High-speed flows in Silicon-micromachined nozzles, (AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, 35th, Los Angeles, CA, June 20–24, 1999) AIAA-99-3756

    Google Scholar 

  • Meinhart CD, Wereley ST & Santiago JG (1999b) PIV Measurements of a Microchannel Flow. Exp. in Fluids, Vol. 27, pp. 414–419.

    Article  Google Scholar 

  • Meinhart CD, Wereley ST, Santiago JG (2000), A PIV algorithm for estimating timeaveraged velocity fields, Journal of Fluids Engineering, Vol. 122, 285–289

    Article  Google Scholar 

  • Melling, A (1986). Seeding Gas Flows for Laser Anemometry: 8.1–8.11.

    Google Scholar 

  • Olsen, MG, Bauer, JM, and Beebe, DJ (2000) Particle imaging technique for measuring the deformation rate of hydrogel microstructures. Applied Physics Letters, 76, 3310–3312.

    Article  Google Scholar 

  • Osada, Y. Ross-Murphy, S. (1993) Intelligent Gels Scientific American, 268: 82–87.

    Google Scholar 

  • Pong KC, Ho CM, Liu J, & Tai YC (1994). Nonlinear pressure distributin in uniform micronchannels. ASME FED 197:51–6.

    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

    Google Scholar 

  • Probstein RF (1994) Physicochemical Hydrodynamics: an introduction, John Wiley & Sons, New York

    Google Scholar 

  • Revenco, I and Proksch, R (2000) Magnetic and acoustic tapping mode microscopy of liquid phase phospholipid bilayers and DNA molecules. J. App. Phys., 87: 526–533

    Google Scholar 

  • Santiago, JG (2001) Electroosmotic Flows in Microchannels with Finite Inertial and Pressure Forces, Anal. Chem. 73, pp. 2353–2365.

    Article  Google Scholar 

  • Santiago, JG, Wereley, ST, Meinhart, CD, Beebe, DJ & Adrian, RJ (1998) A micro particle image velocimetry system. Exp. Fluids, Vol. 25 No.4, pp 316–319.

    Article  Google Scholar 

  • Stone, SW, Meinhart, CD & Wereley, ST (2002) A Microfluidic-based Nanoscope, Exp. Fluids, Vol. 33, 613–619.

    Article  Google Scholar 

  • Strausser, Y and Heaton, M (1994) An introduction to scanning probe microscopy. American Laboratory. 26: April.

    Google Scholar 

  • Tretheway D & Meinhart CD (2002) Fluid slip near hydrophobic microchannel walls, Phys. of Fluids, 14(3), L9–L12.

    Article  Google Scholar 

  • Van Kampen NG (1997) Stochastic Processes in Physics and Chemistry, Elsevier

    Google Scholar 

  • Wereley, ST, Gui, LC, and Meinhart, CD (2001) “Flow Measurement Techniques for the Microfrontier,” Paper 2001-0243, American Institute of Aeronautics and Astronautics Annual Meeting, Reno, NV, Jan. 2001.

    Google Scholar 

  • Wereley, ST, Gui, LC, and Meinhart, CD (2002) “Advanced algorithms for microscale particle image velocimetry,” J. AIAA, Vol. 40, No. 6, pp 1047–1055.

    Article  Google Scholar 

  • Wereley ST, Meinhart CD (2001), Adaptive second-order accurate particle image velocimetry, Exp. Fluids, Vol. 31, 258–268

    Article  Google Scholar 

  • Wereley ST, Santiago JG, Meinhart CD, Adrian RJ 1998, Velocimetry for MEMS Applications. Proc. of ASME/DSC, Vol. 66, (Micro-fluidics Symposium, Nov. 1998, Anaheim, CA)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Wereley, S., Meinhart, C. (2005). Micron-Resolution Particle Image Velocimetry. In: Breuer, K.S. (eds) Microscale Diagnostic Techniques. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26449-3_2

Download citation

  • DOI: https://doi.org/10.1007/3-540-26449-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23099-1

  • Online ISBN: 978-3-540-26449-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics