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Interfacial Phenomena and Heat Transfer

Published 4 issues per year

ISSN Print: 2169-2785

ISSN Online: 2167-857X

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: 0.5 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: 0.8 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: 0.2 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: 0.00018 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: 0.11 SJR: 0.286 SNIP: 1.032 CiteScore™:: 1.6 H-Index: 10

Indexed in

TWO-DIMENSIONAL PROJECTED GAS−LIQUID INTERFACIAL AREA IN BOILING FLOW

Volume 6, Issue 1, 2018, pp. 11-21
DOI: 10.1615/InterfacPhenomHeatTransfer.2018026177
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ABSTRACT

Although the gas−liquid interface in boiling flow is very important, it is difficult to clearly show the relationship between the gas−liquid interface in the channel and heat transfer characteristics. The interfacial area concentration (IAC) is one of them, however its measurement method is not easy. Here, a two-dimensional projected gas−liquid interfacial area (2D-PGIA) is proposed as a simple index. 2D-PGIA is an index obtained by image processing from a video image which is two-dimensional information, and other parameters such as velocity vector of bubbles is not considered. Flow boiling experiments using vertical 4-mm-diameter transparent heated tube were carried out to investigate the relationship between heat transfer characteristics and 2D-PGIA. From the result analyzed images in bubble, slug, and annular flows, it is clear that the 2D-PGIA time profile well follows the temporal change of the inner wall temperature in all flow regimes. Especially in bubble flow, heat transfer increases as 2D-PGIA increases, 2D-PGIA reaches the maximum value just before DNB, and then 2D-PGIA drastically decreases when DNB occurs. From our experimental results, 2D-PGIA will be a useful index for understanding boiling heat transfer in a tube.

CITED BY
  1. Belosludtsev V. V., Zaitsev D. V., Influence of time reference point selection on representation of bubble growth data during flow boiling in microchannels, THERMOPHYSICAL BASIS OF ENERGY TECHNOLOGIES (TBET 2019), 2212, 2020. Crossref

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