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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

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DEVELOPMENT OF 3-DIMENSIONAL BLADE DESIGN SYSTEM USING VIRTUAL REALITY TECHNIQUE

巻 7, 発行 1, 2000, 12 pages
DOI: 10.1615/JFlowVisImageProc.v7.i1.50
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要約

Conventional blade rows in turbo-machinery have been designed 2-dimensionally. However, the enhanced request to improve the performance makes 3-dimensional design inevitable. In the present study, we propose a design system for 3-dimensional blade, applying virtual reality techniques. Using a head mount display and a pen-type 3-D mouse, this system enables a designer to visualize the flow field and to modify the blade configuration. Once the shape of a blade is changed, the flow around the modified blade is calculated and the results are displayed on the head mount display, iteratively. IRIS Explorer is basically used for the flow visualization. The flow is assumed to be 3-dimensional, inviscid, and compressible because of the light computational load. This system would be effective in knowing the trend of aerodynamic performance with deforming a blade configuration, and is also promising for students and/or beginners in learning 3-dimensional flow fields around a 3-dimensional blade.

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