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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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MEASURING FLUID INTERFACES, CORNERS, AND ANGLES FROM HIGH-SPEED DIGITAL IMAGES OF IMPACTING DROPS

Том 28, Выпуск 1, 2021, pp. 1-19
DOI: 10.1615/JFlowVisImageProc.2020032697
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Краткое описание

Modern high-speed digital cameras enable the investigation of fluid flows with unprecedented resolution in both space and time. A remarkable example is given by the study of drop impact and dynamic wetting phenomena, which occur on time scales of few milliseconds and exhibit features, such as the contact angle, which are often treated as geometric singularities. Whilst a good resolution of the camera sensor and a high-quality optics are obvious prerequisites to obtain accurate measurements, the extraction of quantitative information from digital images always requires some kind of processing algorithm. In particular, the accurate measurement of the position and velocity of fluid interfaces, and that of contact angles, require the identification of image features such as contours, edges, and corners, which represents a nontrivial problem of digital image processing with fundamental applications in machine vision systems. This work illustrates systematic analytical procedures to identify fluid interfaces, corners, and angles in high-speed digital images of fluid flows, with focus on their application to the study of drop impact and dynamic wetting phenomena.

Ключевые слова: drop impact, contact line, contact angle, image processing
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