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International Journal of Fluid Mechanics Research
Главный редактор: Atle Jensen (open in a new tab)
Заместитель главного редактора: Valery Oliynik (open in a new tab)
Редактор-основатель: Victor T. Grinchenko (open in a new tab)

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ISSN Печать: 2152-5102

ISSN Онлайн: 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

Indexed in

Turbulent Flow Distribution in Adjoining Subchannels of Unequal Size

Том 25, Выпуск 4-6, 1998, pp. 496-505
DOI: 10.1615/InterJFluidMechRes.v25.i4-6.40
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Краткое описание

An experimental and analytical study is made on the singly phase turbulent flow distribution in two interconnected subchannels. The experiment consisted of detailed measurements of the axial velocity and pressure gradient distribution in a geometry representing two communicating subchannels of different sizes at two Reynolds numbers of 108,000 and 180,000. The analysis concentrated on applying a three dimensional finite difference fluid flow code to subchannel geometries using the two equation k−ε model. The performance of this model was assessed and unique features of the subchannel turbulent flows were identified and discussed. Conclusions regarding the ability of a multidimensional code to predict the flow fields were presented.

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