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International Journal of Fluid Mechanics Research

年間 6 号発行

ISSN 印刷: 2152-5102

ISSN オンライン: 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

A New Correlation for Entropy Generation in Low Reynolds Number Turbulent Shear Layers

巻 36, 発行 6, 2009, pp. 566-572
DOI: 10.1615/InterJFluidMechRes.v36.i6.70
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要約

The need to quantify entropy generation rates is critical to optimizing the performance of many engineered systems. However, accurate predictions and measurement of this quantity are difficult. Recent direct numerical simulations (DNS) are employed to develop a new correlation for the entropy generation at low and moderate Reynolds numbers typical of those found on turbomachinery surfaces for example. Such a correlation is only possible due to advances in computing, that have allowed moderate Reynolds numbers to be simulated. The result illustrates the discrepancies of existing correlations used throughout the literature for predicting entropy generation rates in low Reynolds number turbulent flows.

によって引用された
  1. Walsh Edmond J., Mc Eligot Donald M., Brandt Luca, Schlatter Phillip, Entropy Generation in a Boundary Layer Transitioning Under the Influence of Freestream Turbulence, Journal of Fluids Engineering, 133, 6, 2011. Crossref

  2. Ghasemi E., McEligot D.M., Nolan K.P., Crepeau J., Tokuhiro A., Budwig R.S., Entropy generation in a transitional boundary layer region under the influence of freestream turbulence using transitional RANS models and DNS, International Communications in Heat and Mass Transfer, 41, 2013. Crossref

  3. Ghasemi E., McEligot D.M., Nolan K.P., Crepeau J., Siahpush A., Budwig R.S., Tokuhiro A., Effects of adverse and favorable pressure gradients on entropy generation in a transitional boundary layer region under the influence of freestream turbulence, International Journal of Heat and Mass Transfer, 77, 2014. Crossref

  4. George Joseph, Owen Landon D., Xing Tao, McEligot Donald M., Crepeau John C., Budwig Ralph S., Nolan Kevin P., Entropy generation in bypass transitional boundary layer flows, Journal of Hydrodynamics, 26, 5, 2014. Crossref

  5. Skifton Richard S., Budwig Ralph S., Crepeau John C., Xing Tao, Entropy Generation for Bypass Transitional Boundary Layers, Journal of Fluids Engineering, 139, 4, 2017. Crossref

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