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Journal of Flow Visualization and Image Processing

年間 4 号発行

ISSN 印刷: 1065-3090

ISSN オンライン: 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 KINEMATIC STUDY OF HYDRODYNAMIC FLOWS USING PARTICLE STREAK VELOCIMETRY TECHNIQUE

巻 3, 発行 4, 1996, pp. 279-298
DOI: 10.1615/JFlowVisImageProc.v3.i4.40
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要約

Image processing kinematic facilities provide complementary physical analysis for flow visualization studies. Topologicat wake evolution and shed vortices understanding are complemented with full accuracy velocity field measurements followed by precise interpolation, derivative and integrate steps to determine the vorticity, pressure, and streamlines. This visualization and process analysis is applied to the study of the near wake flow around a circular cylinder for a Reynolds number of 1000.

によって引用された
  1. Boisaubert Nathalie, Texier Alain, Effect of a splitter plate on the near-wake development of a semi-circular cylinder, Experimental Thermal and Fluid Science, 16, 1-2, 1998. Crossref

  2. Zappa Emanuele, Malavasi Stefano, Negri Marco, Uncertainty budget in PSV technique measurements, Flow Measurement and Instrumentation, 30, 2013. Crossref

  3. Malavasi Stefano, Corretto Roberto, Fossati Fabio, PSV and marker detection techniques for investigating the wake of an oscillating cylinder in a large wind tunnel, Flow Measurement and Instrumentation, 22, 5, 2011. Crossref

  4. Qureshi Mumtaz Hussain, Tien Wei-Hsin, Lin Yi-Jiun Peter, Performance comparison of particle tracking velocimetry (PTV) and particle image velocimetry (PIV) with long-exposure particle streaks, Measurement Science and Technology, 32, 2, 2021. Crossref

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