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Journal of Flow Visualization and Image Processing

Publication de 4  numéros par an

ISSN Imprimer: 1065-3090

ISSN En ligne: 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

BUBBLY FLOW DYNAMICS STRUCTURE USING PARTICLE IMAGE VELOCIMETRY

Volume 3, Numéro 4, 1996, pp. 311-318
DOI: 10.1615/JFlowVisImageProc.v3.i4.60
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RÉSUMÉ

Particle image velocimetry (PIV) is a nonintrusive measurement technique that can be used to study the structure of various fluid flows. PIV is used to measure the time-varying full-field velocity data of a particle-seeded flow field within either a two-dimensional plane or three-dimensional volume. PIV is a very efficient measurement technique because it can obtain both qualitative and quantitative spatial information about the flow field being studied. This information can be processed further into information such as vorticity and pathlines and turbulence over extended areas. Other flow measurement techniques (Laser Doppler Velocimetry, Hot Wire Anemometry, etc.) only provide quantitative information at a single point. PIV can be used to study turbulence structures if a sufficient amount of data can be acquired and analyzed, and it can also be extended to study two-phase flows if both phases can be distinguished. In this study, the flow structure around a bubble rising in a pipe filled with water was studied in three-dimensions. The velocity of the rising bubble and the. velocity field of the surrounding water was measured. Then the turbulence intensities and Reynolds stresses were calculated from the experimental data.

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