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International Journal of Fluid Mechanics Research

Publicado 6 números por año

ISSN Imprimir: 2152-5102

ISSN En Línea: 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

Numerical Simulations of Unsteady Separation Bubbles over Turbine Blades

Volumen 39, Edición 1, 2012, pp. 40-53
DOI: 10.1615/InterJFluidMechRes.v39.i1.30
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SINOPSIS

Numerical simulations are often performed assuming the steadiness of the laminar separation bubbles. Even if computational time is saved, it results in a weak convergence of the computations and a lack of precision in the results. URANS (Unsteady Reynolds Average Navier−Stokes equations) computations using the ONERA in-house code elsA are proposed here for a range of chord Reynolds numbers from 80000 to 160000. The numerical results for the mean flow part are compared with the experimental data obtained in the framework of the European programme TATMo (Turbulence and Transition Modelling for Special Turbomachinery Application). The unsteadiness of separation bubbles is clearly demonstrated detecting the vortical structures of the flow. A spectral analysis allows to highlight the flow behaviour depending on the Reynolds number. Characteristic frequencies of the flow are also identified.

CITADO POR
  1. Marty J, Numerical investigations of separation-induced transition on high-lift low-pressure turbine using RANS and LES methods, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 228, 8, 2014. Crossref

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