Research Note — RES‑003 · Seminar
Particle Image Velocimetry — Principles & Application to Turbulent Boundary Layers
A seminar on Particle Image Velocimetry (PIV) — a non‑intrusive optical technique that measures whole flow fields by tracking tracer particles illuminated by a pulsed laser sheet. Covers the physical and technical background, the recording and image‑shifting techniques used to resolve flow direction, the auto‑ and cross‑correlation mathematics behind particle‑displacement detection, and a case study applying PIV to instabilities and turbulence in a flat‑plate boundary layer.
Part 1
What PIV Measures & How It's Recorded
- Reviewed the history of flow visualization, from Leonardo da Vinci's hand sketches of turbulent channel flow to modern optical measurement
- Covered the physical requirements for PIV — seeding particles, a pulsed laser light sheet, and synchronized dual‑frame imaging
- Compared single‑frame/multiple‑exposure and double‑frame/single‑exposure recording techniques, and how image shifting removes directional ambiguity
Part 2
The Mathematics of Particle Displacement
- Defined the imaging geometry linking the light sheet, interrogation volume and image plane
- Derived the mean, autocorrelation and variance of a single‑exposure recording, and the cross‑correlation of a double‑frame pair
- Showed how the correlation plane's displacement peak (RP) is separated from background correlation (RC) and noise (RF) to recover the local particle‑image displacement
Part 3
Case Study — Turbulent Boundary Layer
- Applied PIV to instantaneous velocity fluctuations in a flat‑plate boundary layer, comparing two forcing‑signal amplitudes
- Captured the instantaneous velocity fluctuation field of a fully turbulent boundary layer, resolving near‑wall vortical structures
- Validated mean velocity profiles in inner (wall) units — U⁺ vs. Y⁺ — against the classical law of the wall across three free‑stream velocities
- Examined how interrogation‑window size trades off spatial resolution near the wall against measurement accuracy
Reference
Primary Source
| Text | Raffel, M., Willert, C. E., Scarano, F., Kähler, C. J., Wereley, S. T., & Kompenhans, J. (2018). Particle Image Velocimetry: A Practical Guide. Springer. |
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| Also cited | Adrian, R. J. (1991). Particle‑imaging techniques for experimental fluid mechanics. Annual Review of Fluid Mechanics, 23(1), 261–304. · Schetz & Bowersox (2011). Boundary Layer Analysis. AIAA. |