Open AccessMulti-resolution, time-resolved PIV measurements of a Decelerating Turbulent Boundary Layer near Separation
Author(s) -
Christian Willert,
Matteo Novara,
Daniel Schanz,
Reinhard Geisler,
Michael Schroll,
Simon L. Ribergård,
Andreas Schröeder
Publication year - 2021
Publication title -
international symposium on particle image velocimetry.
Language(s) - English
Resource type - Journals
ISSN - 2769-7576
DOI - 10.18409/ispiv.v1i1.77
Subject(s) - boundary layer , turbulence , particle image velocimetry , reynolds number , flow separation , pressure gradient , adverse pressure gradient , tracking (education) , boundary layer thickness , physics , boundary (topology) , image resolution , optics , resolution (logic) , mechanics , mathematics , computer science , artificial intelligence , mathematical analysis , psychology , pedagogy
We report on measurements of the time-evolving velocity profile of a turbulent boundary layer subjected to a strong adverse pressure gradient (APG) at Reynolds numbers up to Reθ ≈ 55 000 with an upstream friction Reynolds number exceeding Reτ ≈ 10 000. Near the point of flow separation high-resolution imaging at high camera frame rates captured the time evolving velocity profile using the so-called “profile-PIV” technique in a nested imaging configuration of two cameras operating at different image magnifications. One camera used an image magnification better than unity to resolve the viscous scales directly at the wall while the remainder of the roughly 200 mm thick boundary layer is simultaneous captured by the second camera. In the APG the variance of the stream-wise velocity exhibits no “inner peak” commonly found in turbulent boundary layers without pressure gradient influence. Spectral analysis further shows that the peak energy within the boundary layer shifts away from the wall toward lower frequencies. The overlap between the simultaneously imaged areas allows to assess and, to first order, correct for the effect of spatial smoothing on statistical quantities, spectra and related quantities. A multi-frame cross-correlation algorithm was used to process the extensive data base. In addition, a newly developed 2D-2C “Shake-The-Box” algorithm (STB) provided highly resolved particle tracking data beyond the reach of conventional PIV processing.