Wall-shear-stress and near-wall turbulence measurements up to single pixel resolution by means of long-distance micro-PIV
By Christian J. Kähler, U. Scholz, J. Ortmanns. 2006
206 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computational Mechanics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/3446c677edd94531d4011eaf46f6baf78e71734f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Bernhard Wieneke
- Christian Cierpka
- Christian J. Kähler
- A. Sciacchitano
- Fulvio Scarano
- B. Lütke
- Sven Scharnowski
- Andreas Schröder
In Computational Mechanics
- Christian Cierpka
- Fulvio Scarano
- Christian J. Kähler
- Bernhard Wieneke
- A. Sciacchitano
- Sven Scharnowski
- B. W. van Oudheusden
- B. Lütke
In Ocean Engineering
- Fulvio Scarano
- Christian Cierpka
- Sven Scharnowski
- Bernhard Wieneke
- Christian J. Kähler
- A. Sciacchitano
- B. Lütke
- B. W. van Oudheusden
Citations in the corpus
- On the resolution limit of digital particle image velocimetry (2012, methodology): “In the last years, the approach was extended for the analysis of periodic laminar flows (Billy et al. 2004), of macroscopic laminar, transitional, and turbulent flows (Kähler et al. 2006), and for compressible flows at large Mach numbers (Kähler and Scholz 2006; Bitter et al. 2011).”
- Higher order multi-frame particle tracking velocimetry (2013, background): “To better resolve strong flow gradients, the optical magnification can be increased, but this leads to three major problems (Kähler et al. 2006): 1.”
- Multi-frame pyramid correlation for time-resolved PIV (2012, background): “As a result, the number of image pairs can be increased for long sequences and the interrogation size can be significantly reduced without lack of robustness, virtually down to a single pixel (Westerweel et al. 2004; Kähler et al. 2006).”
- On the uncertainty of digital PIV and PTV near walls (2012, methodology): “However, these data points are easy to exclude from the fit, and they can even be used to determine the position of the wall reliably (Kähler et al. 2006).”