Detection of vortices and quantitative evaluation of their main parameters from experimental velocity data
By H. Vollmers. 2001
168 citations recorded by the source corpus.
Subfields: Computational Mechanics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/9a5ca4f6ae45335a600ddea2b22916e7b5fcb3a6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Christian J. Kähler
- Bernhard Wieneke
- A. Sciacchitano
- Tim Persoons
- Alan McGuinn
- Fulvio Scarano
- P. Valiorgue
- R. Radespiel
In Global and Planetary Change
- F. Holzäpfel
- Thomas Gerz
- Bernhard Wieneke
- A. Sciacchitano
- D. Murray
- Christian J. Kähler
- P. Valiorgue
- Tim Persoons
Citations in the corpus
- PIV uncertainty propagation (2016, background): “For noisy data, Vollmers (2001) reports that lower uncertainty can be achieved by computing the vorticity from the flow circulation, rather than via equations (39) and (40).”
- Dynamics of laminar separation bubbles at low-Reynolds-number aerofoils (2009, background): “As shown by Vollmers (2001) this criterion is also suited for analysing flow fields in which only two velocity components are available.”
- Commercial aircraft wake vortices (2002, background): “In recent PIV measurements, a transition of the vorticity structure in the core region from a quasilaminar state to a turbulent state was observed [122,4].”
- Heat transfer mechanisms in an impinging synthetic jet for a small jet-to-surface spacing (2009, methodology): “Persoons et al. [12] show144 a considerable increase in dynamic velocity range by applying this technique,145 resulting in more accurate velocity vectors in the low velocity wall jet and146 entrainment regions.147 2.4 Vortex dynamics148 From the phase-resolved velocity fields, the vorticity field ω ”