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Journal of Flow Visualization and Image Processing

Publicou 4 edições por ano

ISSN Imprimir: 1065-3090

ISSN On-line: 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

HIGH-RESOLUTION THREE-COLOR PIV TECHNIQUE USING A DIGITAL SLR CAMERA

Volume 20, Edição 1-2, 2013, pp. 35-45
DOI: 10.1615/JFlowVisImageProc.2014010412
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RESUMO

Particle image velocimetry (PIV) is used for measuring velocity distributions in planar cross sections of a fluid flow. The PIV technique is nonintrusive and not affected by variations in the fluid temperature. However, the velocity range and the accuracy of measurement are dependent on the spatial resolution of the camera. To overcome this limitation, a color digital single-lens reflex (SLR) camera and three illumination colors were used to simultaneously obtain two pairs of time delays. The three illumination colors, namely, red, green, and blue, were generated by diode lasers and had wavelengths of 650, 532, and 445 nm, respectively. Visualization images were obtained by a color digital SLR camera with color (red, green, and blue) pixel image grids. The uncertainty of the three-color PIV technique was evaluated using standard PIV images, and the technique was used to investigate the heat transfer and fluid flow characteristics of the natural convection produced by a vertical grooved panel heated on one side. The new color PIV technique was also used to measure a 3D velocity field by deforming the shape of the light sheet. The results confirmed the feasibility of using multiple cameras to develop a high-resolution 3D PIV system.

CITADO POR
  1. Wang ZhongYi, Gao Qi, Wang JinJun, A triple-exposure color PIV technique for pressure reconstruction, Science China Technological Sciences, 60, 1, 2017. Crossref

  2. de Silva C. M., Grayson K., Scharnowski S., Kähler C. J., Hutchins N., Marusic I., Towards fully-resolved PIV measurements in high Reynolds number turbulent boundary layers with DSLR cameras, Journal of Visualization, 21, 3, 2018. Crossref

  3. Menser Jan, Schneider Florian, Dreier Thomas, Kaiser Sebastian A., Multi-pulse shadowgraphic RGB illumination and detection for flow tracking, Experiments in Fluids, 59, 6, 2018. Crossref

  4. Aruga Kenta, Watanabe Tomoaki, Nagata Koji, Color contamination correction based on light intensity correlation in two-color, double-exposure particle tracking velocimetry, Experiments in Fluids, 61, 6, 2020. Crossref

  5. Park Hyun Jin, Yamagishi Shunta, Osuka Susumu, Tasaka Yuji, Murai Yuichi, Development of multi-cycle rainbow particle tracking velocimetry improved by particle defocusing technique and an example of its application on twisted Savonius turbine, Experiments in Fluids, 62, 4, 2021. Crossref

  6. Murai Yuichi, Yumoto Takeaki, Park Hyun Jin, Tasaka Yuji, Color-coded smoke PIV for wind tunnel experiments improved by eliminating optical and digital color contamination, Experiments in Fluids, 62, 11, 2021. Crossref

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