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Journal of Flow Visualization and Image Processing

Publication de 4  numéros par an

ISSN Imprimer: 1065-3090

ISSN En ligne: 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 NEW THERMOCHROMIC LIQUID CRYSTAL TEMPERATURE IDENTIFICATION TECHNIQUE USING COLOR SPACE INTERPOLATIONS AND ITS APPLICATION TO FILM COOLING EFFECTIVENESS MEASUREMENTS

Volume 7, Numéro 2, 2000, 20 pages
DOI: 10.1615/JFlowVisImageProc.v7.i2.20
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RÉSUMÉ

A new color-temperature identification technique using thermochromic liquid crystals (TLC) and image processing has been developed. The technique is based on the finding that there exists a one-to-one correspondence between a temperature value and a set of TLC tristimulus values (rgb) in a color space (rgb space). Calibration points expressed in terms of rgb values corresponding to various temperatures are plotted in rgb space and then interpolated to obtain a smooth space calibration curve. This space calibration curve does not generally intersect with itself, and therefore the entire reflection region, which is not effectively used by the conventional hue-capturing technique, becomes available. Also, because the calibration curve can be obtained by simple algebraic interpolation, a more complex approach such as a neural network is not required. Moreover, the acceptable region around the calibration curve is clearly defined, and so doubtful pixel information is easily excluded by controlling this region.
A temperature measurement system based on this technique has been established using a CCD color camera, image analyzing application board, and Visual C++ programs. With this system, film cooling effectiveness over a flat plate through a round hole, a diffusion-shaped hole, and a diffusion-shaped hole with a vortex generator was studied.

CITÉ PAR
  1. Grewal G S, Bharara M, Cobb J E, Dubey V N, Claremont D J, A novel approach to thermochromic liquid crystal calibration using neural networks, Measurement Science and Technology, 17, 7, 2006. Crossref

  2. Rakpakdee Wannarat, Pornnattawut Mongkol, Motozawa Masaaki, Fukuta Mitsuhiro, Chaiworapuek Weerachai, Experimental study on thermal and friction characteristics of liquid flow across a heating cylinders under low-frequency ultrasound, International Journal of Heat and Mass Transfer, 196, 2022. Crossref

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