Combination of advanced 2D PIV and Stereo Technique (original) (raw)

2006, … on application of …

Particle Image Velocimetry with Local Field Correction (LFC-PIV) has been tested in the past to obtain two components of the velocity in a two dimensional domain (2D2C). When compared with conventional correlation based algorithms, this advanced technique has showed improvements in three important aspects: robustness, resolution and ability to cope with large displacements gradients. A further step in the development of PIV algorithms consists in the combination of LFC with the Stereo technique, able to obtain three components of the velocity (2D3C PIV). To successfully apply stereoscopy, the laser sheet width is usually larger than in 2C velocimetry, in order to acquire the out of plane displacement of the particles. This peculiarity can make questionable the need for improved spatial resolution. In particular, if some factors concur the measurement of small scale features of the velocity along the laser sheet can be spoiled by the velocity variations across it, caused by the flow structures. Being the spatial resolution capabilities of LFC its main advantage, this paper focuses in establishing if there are advantages left for LFC-PIV in situations where only large scale features are of interest, thus making it difficult for this technique to show its attractiveness. The remaining benefits still to be analyzed are the robustness and the ability to cope with large displacement gradients. For both aspects, the performances of 2D3C-LFC-PIV are explored. These performances are characterized and compared with conventional and other advanced algorithms, when applied to synthetic PIV images. In addition, the coherence between these results and those coming from experimental PIV images is presented and discussed.

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