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International Journal of Fluid Mechanics Research

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 2152-5102

ISSN Online: 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

Lagrangian Transport Equation of Fluctuating Kinetic Energy in the Dispersed Phase

Volumen 24, Ausgabe 4-6, 1997, pp. 808-817
DOI: 10.1615/InterJFluidMechRes.v24.i4-6.360
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ABSTRAKT

Limitations of the conventional stochastic approach which is widely used in the study of two-phase turbulent flows are addressed. The Lagrangian transport equation of the fluctuating kinetic energy in the dispersed phase (kpk) is then formulated in order to overcome the above limitations. Closure of the transport equation of kpk requires a model of the turbulence modulation term. Two simple turbulence modulation models are selected for the demonstration of kpk computations through two well-defined problems. Modifications to these two models are also made by introducing kpk variable into the models. It is found that the modified models yield more satisfactory kpk predictions than the original models in the test problems.

REFERENZIERT VON
  1. Chang Keh-Chin, Yang Jinn-Cherng, Wang Muh-Rong, Grid-Averaged Lagrangian Equations of Dispersed Phase in Dilute Two-Phase Flow, AIAA Journal, 41, 7, 2003. Crossref

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