Characterization of Different PIV Algorithms Using the EUROPIV Synthetic Image Generator and Real images From a Turbulent Boundary Layer

To characterize the PIV accuracy, a statistical study has been performed by means of synthetic and real images. The synthetic images were generated with the Europiv SIG. They allowed to characterize the systematic and random errors and to optimize the recording and processing parameter. The influence of the characteristics of particle images like the diameter or the density and of CCD such as the fill ratio or the noise were studied. The algorithm, which gives the best results, was an iterative one using the FFr-based correlation, the sub-pixel window shifting technique with a Whittaker interpolation and a three point Gaussian peakfitting. From a series of real images, the probability density function validated the benefit of sub-pixel shift. The influence of the velocity gradient and of the out of plane component have also been investigated. The optimization of experimental parameter on the basis of this study enables an accurate measurement of the turbulent characteristics.

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