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Multicolor particle shadow accelerometry.

M J McPhail1, M H Krane1, A A Fontaine1

  • 1Applied Research Laboratory, Pennsylvania State University, State College, PA 16804, USA.

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Summary

This study extends multicolor particle shadow velocimetry (CPSV) for measuring local acceleration in fluid flows. Validation in rotating and turbulent flows shows favorable comparisons with other methods, advancing Eulerian acceleration measurement.

Keywords:
accelerometryhigh-speed imagingparticle shadow velocimetryturbulent pipe flow

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Area of Science:

  • Fluid dynamics
  • Experimental fluid mechanics
  • Particle imaging velocimetry

Background:

  • Accurate measurement of local acceleration is crucial for understanding complex fluid flows.
  • Eulerian measurements provide direct insight into fluid particle motion.
  • Existing techniques may have limitations in capturing high-frequency acceleration data.

Purpose of the Study:

  • To extend multicolor particle shadow velocimetry (CPSV) for Eulerian local acceleration measurement.
  • To validate the extended CPSV technique in controlled and turbulent flow environments.
  • To assess the impact of time delay on acceleration estimation accuracy.

Main Methods:

  • Development and application of multicolor particle shadow velocimetry (CPSV).
  • Validation experiments involving a pendulous disk with unsteady rotation.
  • Application to a fully-developed turbulent pipe flow.
  • Comparison with accelerometer data and particle image accelerometry (PIA).

Main Results:

  • CPSV successfully measured angular velocity and acceleration profiles in unsteady rotation.
  • Measurements of local acceleration standard deviation in turbulent pipe flow showed favorable agreement with prior studies.
  • CPSV demonstrated comparable results to particle image accelerometry (PIA).

Conclusions:

  • The extended CPSV technique is a viable method for Eulerian local acceleration measurements.
  • CPSV offers a promising alternative for detailed flow analysis, particularly in turbulent regimes.
  • Understanding the effect of time delay is important for optimizing acceleration estimates.