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Journal of Flow Visualization and Image Processing
Главный редактор: Krishnamurthy Muralidhar (open in a new tab)

Выходит 4 номеров в год

ISSN Печать: 1065-3090

ISSN Онлайн: 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

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A MASS CONSERVATIVE STREAMLINE TRACKING METHOD FOR TWO DIMENSIONAL CFD VELOCITY FIELDS

Том 9, Выпуск 1, 2002, 13 pages
DOI: 10.1615/JFlowVisImageProc.v9.i1.50
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Краткое описание

Mass conservation is a key issue for accurate streamline visualization of flow fields. This paper presents a mass conservative streamline construction method for CFD velocity fields defined at discrete locations on plane. Linear interpolation is used to approximate velocity fields. Demonstration examples show that the method is very accurate.

ЦИТИРОВАНО В
  1. Li Zhenquan, Lal Rajnesh, An Application of a Mesh Refinement Method Based on the Law of Mass Conservation, 2010 International Conference on Computational and Information Sciences, 2010. Crossref

  2. Li Zhenquan, Wood Robert, Accuracy verification of a 2D adaptive mesh refinement method for incompressible or steady flow, Journal of Computational and Applied Mathematics, 318, 2017. Crossref

  3. Li Zhenquan, Li Miao, Accuracy Verification of a 2D Adaptive Mesh Refinement Method Using Backward-Facing Step Flow of Low Reynolds Numbers, International Journal of Computational Methods, 18, 03, 2021. Crossref

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