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国际流体力学研究期刊

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ISSN 打印: 2152-5102

ISSN 在线: 2152-5110

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: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 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: 0.0002 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: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

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THE MEASUREMENTS OF BUBBLE PLUME STRUCTURE PARAMETER

卷 44, 册 4, 2017, pp. 277-295
DOI: 10.1615/InterJFluidMechRes.2017014476
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摘要

Surface flows generated by bubble plumes play an important role in many engineering applications. Hence, the flowfield's structure using air bubbles is the interest of many researchers. The purpose of this paper is to elucidate the relationship between the parameters of bubbly flow/bubble plume to describe the characteristics of bubble-generating surface flow. The flow depends on the gas flow rate Qg, the bubble size (the mean bubble diameter D), the void friction α, the bubble velocity v, the internal two-phase flow structure of the bubble plume, and the distance between the bubble generator and the free surface (water height in the experimental tank H). An experimental apparatus was designed in order to investigate bubble motion, to calculate the bubble parameters, and to find the links and interdependencies between them. From the data obtained by applying image processing of visualized images of bubble flow structure for the different sections of bubble regions, it is confirmed that the flow structure and bubble parameters are sensitively modulated by the gas flow rate, bubble velocity, bubble size, and the water height in the tank. It was found that when the gas volume flow rate increases the mean (average) bubble diameter, the bubble velocity along the bubble plume and the void friction increase. Furthermore, the bubble velocity increases as the water height in the experimental tank increases. Investigating bubbly flow characteristics and finding the relationship between the mentioned parameters support many applications for the future of industry and the environment. This will help designing the real system of surface flow technique generated by the bubble plume to enable it to control and collect surface-floating substances in naval systems, lakes, seas, rivers, and oceans, especially oil layers formed during large oil spill accidents. The surface flows generated by bubble plumes are considered key phenomena in various kinds of reactors, engineering processes, and industrial processes handling a free surface.

对本文的引用
  1. Abdulmouti Hassan, Improving the Performance of Surface Flow Generated by Bubble Plumes, Fluids, 6, 8, 2021. Crossref

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