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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 CALIBRATION METHOD OF A TWO-CAMERA SYSTEM IN A FACE-TO-FACE CONFIGURATION DESIGNED FOR FAST-FLOW STUDY

巻 7, 発行 2, 2000, 19 pages
DOI: 10.1615/JFlowVisImageProc.v7.i2.30
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要約

The study of high-speed flows with particle image velocimetry (PIV) techniques requires charge-coupled device (CCD) cameras with high image frame rate. However, this kind of camera often has limited performance and is expensive. The use of two standard CCD cameras positioned face to face, on each side of the flow, allows the study of very high-speed flow. This system can produce image pairs at a very short delay of less than 200 ns. It is only limited by the precision of the aperture time of the cameras and by the control system. The recorded images are then transformed in order to be seen with the same point of view. This transformation is determined by the earlier calibration of the two cameras. Classic correlation is then performed on a couple of images belonging to the two cameras. The computed displacement is compared with measures obtained by classic PIV on single camera images. The results are very close (a maximum difference of 0.5 pixel).

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