A parametric PIV/DIC method for the measurement of free surface flows
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Abstract
The present paper addresses the problem of combined three-dimensional measurements of shape and velocity of moving free surfaces. A measurement method based on the cross-correlation of image pairs obtained from a calibrated stereoscopic vision system is presented. The underlying concept of the method consists in the generation of parametric shape and displacement forms which are directly projected on the camera models. This procedure is then integrated in an iterative optimization process so that elevation, orientation, curvature and displacement of each surface subset are accurately estimated. An application to an inclined plane flow of a non-Newtonian fluid is proposed as an alternative to conventional rheometric solutions.
Keywords
Free Surface Particle Image Velocimetry Digital Image Correlation Synthetic Image Free Surface FlowNotes
Acknowledgments
The algorithms described in this paper have been implemented using the C++ Slip library (Simple Library for Image Processing, Tremblais et al. 2010) jointly developed at XLIM and P’, which the authors gratefully acknowledge. This work is realized in a framework supported by CPER 13 and the FEDER program.
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