2005
DOI: 10.1016/j.ijheatfluidflow.2004.08.002
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A new technique for dynamic heat transfer measurements and flow visualization using liquid crystal thermography

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Cited by 22 publications
(11 citation statements)
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“…The standard error of neural network approximation, which is given by the program, is about 0.72 %. Also in this neural network model, the results of the following studies are used [9][10][11][12][13][14][15][16].…”
Section: Spherical Recessesmentioning
confidence: 99%
“…The standard error of neural network approximation, which is given by the program, is about 0.72 %. Also in this neural network model, the results of the following studies are used [9][10][11][12][13][14][15][16].…”
Section: Spherical Recessesmentioning
confidence: 99%
“…Balasubramaniam and Sastry (1995) reviewed the use of thermochromic liquid crystals (TLCs) in heat transfer studies and their applications to food processing research. Some researchers (Gadonna et al, 1996;Ochoa et al, 2005) have further improved this technique by using a transducer particle made up of two concentric spheres (core of the particle was a polypropylene sphere pre-coated with a black paint and then coated with a liquid-crystal (Abdullah et al, 2010;Kakade et al, 2009) The liquid crystal technique can provide useful information, if properly used, but does have limitations. Color calibration is difficult; and it must be emphasized that each calibration curve between temperature and hue value is unique as color determination depends both on equipment and environment conditions during the experiment (different lightening chambers, light bulbs, dust formation on light bulbs, image processing system etc.).…”
Section: Use Of Thermochromic Liquid Crystals (Tlcs)mentioning
confidence: 99%
“…The color changes are reversible on cooling. Thus, the local spatial temperature distribution can be suitably calibrated through RGB (red, green, blue) or hue-saturation-brightness scales [11].…”
Section: Experimental Set-upmentioning
confidence: 99%