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Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.5

ISSN 印刷: 1065-3090
ISSN オンライン: 1940-4336

Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.2016016303
pages 131-150

A NEW ALGORITHM TO DETERMINE THE 3D LOCATION OF PARTICLES IN A FLOW USING CYLINDRICAL INTERFEROMETRIC OUT-OF-FOCUS IMAGING

Pascal Lemaitre
Institut de Radioprotection et de Surete Nucleate (IRSN), PSN-RES, SCA, LECEV, Gif-sur-Yvette, 91192, France
L. Ouldarbi
UMR CNRS 6614 CORIA, Avenue de l'Universite, BP 12, 76801 Saint-Etienne du Rouvray cedex, France
H. Shen
UMR CNRS 6614 CORIA, Avenue de l'Universite, BP 12, 76801 Saint-Etienne du Rouvray cedex, France
Emmanuel Porcheron
Institut de Radioprotection et de Surete Nucleate (IRSN), PSN-RES, SCA, LECEV, Gif-sur-Yvette, 91192, France
J. Van Beeck
Institut von Karman, B-1640 Rhode-Saint-Genese, Belgium
Gerard Grehan
CORIA, Universite de Rouen, Site Universitaire du Madrillet BP 12 76801 Saint Etienne du Rouvray, France
M. Brunel
UMR CNRS 6614 CORIA, Avenue de l'Universite, BP 12, 76801 Saint-Etienne du Rouvray cedex, France

要約

The ability to simultaneously determine the 3D location, velocity, and size of droplets, bubbles or more complex particles remains a challenge for numerous applications. A new interferometric out-of-focus imaging setup has been recently developed to determine the 3D location and velocity of a particle. With this setup, the resulting interferograms are elliptical, and their ellipticity provides the longitudinal location of the particle. The main difficulty lies in accurately determining this ellipticity, especially for interferograms with significant overlapping. Here, we propose a new algorithm based on the gradient pair vectors (GPV) method. After a complete description of the algorithm, examples are given of its application to a large set of experimental and synthetic images, illustrating the effectiveness of the proposed ellipse-fitting approach even for very complex configurations. This new algorithm should have significant applications for the analysis of complex 3D multiphase flows such as encountered, for example, in nuclear engineering, fuel injection systems, or even meteorology.


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