Abstract
The uncertainty analysis of temperature and velocity measured bythermo-sensitive liquid crystal particles suspended in a fluid flow wasstudied by using artificial colour images. These colour images weregenerated from the numerical simulation data of thermal convection combinedwith the experimental relationship between the temperature and the colourof the liquid crystals. The results indicate that the accuracy of thetemperature measurement depends on the technique used for transformationfrom colour to temperature and the best accuracy is obtained by the use ofthe hue-saturation-intensity calibration technique. The accuracy ofvelocity measurement was optimized by selecting suitable combinations ofPIV parameters, such as the size of interrogation window, size of searchwindow and pixel displacement of the images. Further improvement in theaccuracy of velocity measurement was attempted by adding colourless tracerparticles in the visualization.
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