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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

GAS BUBBLE SIZE AND VELOCITY MEASUREMENTS USING HIGH-SPEED IMAGES OF GAS-LIQUID FLOWS

Volume 8, Numéro 4, 2001, 13 pages
DOI: 10.1615/JFlowVisImageProc.v8.i4.40
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RÉSUMÉ

A quantitative flow visualization system has been developed to measure gas bubble size and velocities of gas-liquid flows. The images are acquired using a high-speed digital imaging system. An image processing algorithm based on standard edge-detection routines and morphological operations are used to demarcate the boundaries of the gas bubbles and obtain the bubble size distribution. The displacement of the bubbles between two consecutive frames is obtained through a cross-correlation analysis between the frames. Results obtained from the flow visualization and image analysis techniques are in good agreement with simultaneous measurements using hot-film anemometry.

CITÉ PAR
  1. Zaruba A., Krepper E., Prasser H.-M., Reddy Vanga B.N., Experimental study on bubble motion in a rectangular bubble column using high-speed video observations, Flow Measurement and Instrumentation, 16, 5, 2005. Crossref

  2. Banowski Manuel, Patmonoaji Anindityo, Lucas Dirk, Hampel Uwe, A novel fuzzy-logic based method for determination of individual bubble velocity and size from dual-plane ultrafast X-ray tomography data of two-phase flow, International Journal of Multiphase Flow, 96, 2017. Crossref

  3. Chen Jiaqi, Brooks Caleb S., Experiments and CFD simulation of mass transfer and hydrodynamics in a cylindrical bubble column, Chemical Engineering Science, 234, 2021. Crossref

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