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Journal of Flow Visualization and Image Processing

年間 4 号発行

ISSN 印刷: 1065-3090

ISSN オンライン: 1940-4336

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: 0.6 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: 0.6 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: 0.00013 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: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

A MASS CONSERVATIVE STREAMLINE TRACKING METHOD FOR THREE-DIMENSIONAL CFD VELOCITY FIELDS

巻 14, 発行 1, 2007, pp. 107-120
DOI: 10.1615/JFlowVisImageProc.v14.i1.70
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要約

Mass conservation is a key issue for constructing accurate streamlines of flow fields. We consider the CFD velocity fields without further data available such as the measured velocity fields. This paper presents a mass conservative streamline tracking method for such CFD velocity fields. Linear interpolation is used to approximate velocity fields and the exact tangent curve for linear vector fields is used to draw the streamlines. Demonstration examples in the last section show that the method is accurate.

によって引用された
  1. El-Emam Nameer N., Al-Rabeh Riadh H., An intelligent computing technique for fluid flow problems using hybrid adaptive neural network and genetic algorithm, Applied Soft Computing, 11, 4, 2011. Crossref

  2. Speetjens M. F. M., Demissie E. A., Metcalfe G., Clercx H. J. H., Lagrangian transport characteristics of a class of three-dimensional inline-mixing flows with fluid inertia, Physics of Fluids, 26, 11, 2014. Crossref

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