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Journal of Flow Visualization and Image Processing

Publicado 4 números por año

ISSN Imprimir: 1065-3090

ISSN En Línea: 1940-4336

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 0.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00013 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

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

Volumen 22, Edición 1-3, 2015, pp. 131-150
DOI: 10.1615/JFlowVisImageProc.2016016303
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SINOPSIS

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.

CITADO POR
  1. Brunel Marc, Ouldarbi Lila, Fahy Alexandre, Perret Gaële, 3D-Tracking of Sand Particles in a Wave Flume Using Interferometric Imaging, Optics, 3, 3, 2022. Crossref

  2. Lu Qieni, Liu Hao, Wang Huaying, Liu Taiyu, Song Tianhui, Fast and high-accuracy measurement of particle size and location from a linear interferogram, Applied Optics, 61, 25, 2022. Crossref

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