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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

DIAGNOSIS OF COMPOSITE FLOW NETWORKS

Volume 12, Numéro 4, 2005, pp. 389-408
DOI: 10.1615/JFlowVisImageProc.v12.i4.50
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RÉSUMÉ

Flow network consisting of a system of intersecting tubes or channels is most abundant in nature such as a circulatory system in a human body, drain system in soils, and others. Flow characteristics in flow networks have been investigated for two decades, including a single pair of cross flow and multiple pairs forming diamond-shaped cylinder bundles. Recently, research has been extended into the second generation, namely composite flow network consisting of conventional (the first generation) flow networks arranged in series, parallel, and their combination. This step of investigation is analogous to the simulation of the circulatory flow system.
An experimental study is performed on a composite flow network consisting of one flow network in series with two in parallel sandwiching a thin-film jet. Particle-injection type flow visualization method, particle image velocimetry (PIV), and laser Doppler velocimetry (LDV) are employed to determine flow patterns, velocity vector distribution, vorticity distribution, Reynolds-stress distribution, and power spectral distribution. It is disclosed that a thin-film jet may be stabilized by means of a composite flow network.

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