Lagrangian and Eulerian pressure field evaluation of rod-airfoil flow from time-resolved tomographic PIV
By D. Violato, Peter Moore, Fulvio Scarano. 2011
181 citations recorded by the source corpus.
This work investigates the rod-airfoil air flow by time-resolved Tomographic Particle Image Velocimetry (TR-TOMO PIV) in thin-light volume configuration. Experiments are performed at the region close to the leading edge of a NACA0012 airfoil embedded in the von Kármán wake of a cylindrical rod. The 3D velocity field measured at 5 kHz is used to evaluate the instantaneous planar pressure field by integration of the pressure gradient field. The experimental data are treated with a discretized model based on multiple velocity measurements. The time separation used to evaluate the Lagrangian derivative along a fluid parcel trajectory has to be taken into account to reduce precision error. By comparing Lagrangian and Eulerian approaches, the latter is restricted to shorter time separations and is found not applicable to evaluate pressure gradient field if a relative precision error lower than 10% is required. Finally, the pressure evaluated from tomographic velocity measurements is compared to that obtained from simulated planar ones to discuss the effect of 3D flow phenomena on the accuracy of the proposed technique.
Subfields: Aerospace Engineering, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/4275e6eb8978c59051150a3dcad81220caae53e1
How researchers see this paper
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In Aerospace Engineering
In Computational Mechanics
- D. Schanz
- S. Gesemann
- Andreas Schröder
- B. W. van Oudheusden
- Fulvio Scarano
- Bernhard Wieneke
- G. Elsinga
Citations in the corpus
- PIV-based pressure measurement (2013, methodology): “Violato et al. (2011) performed a comparison of Eulerian and Lagrangian pressure-determination methods in relation to the investigation of a rod-airfoil configuration, using a thin-tomo PIV technique to be able to include the out-of-plane components of the pressure gradient.”
- Shake-The-Box: Lagrangian particle tracking at high particle image densities (2016, methodology): “For a detailed description of the experimental apparatus, see (Violato et al. 2011).”