This study analyzes six threshold approaches for measuring swirling flame properties including flame length, lift-off height, maximum width, area, and flame pulsating displacements in terms of flame center of gravity,...
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This study analyzes six threshold approaches for measuring swirling flame properties including flame length, lift-off height, maximum width, area, and flame pulsating displacements in terms of flame center of gravity, length, and width under three operating conditions. Flame video images are captured with the use of a high-speed camera for this objective. The image processing of frames obtained from a high-speed video was fulfilled by utilizing the intermittency distribution approach in order to compare the flame properties quantitatively. The findings show that the huang technique binarizes the experimental images of the swirling flames the best of the six threshold methods, whereas the Minimum approach produces a large error in flame morphology prediction. After the huang algorithm, the Yen and Renyi's Entropy-based algorithms do well in forecasting flame morphology, respectively. When compared to the huang algorithm, the Minimum technique reduces the flame length, maximum width, and area by approximately 34, 26, and 56% for fuel and airflow rates of 0.200 and 3 slpm, respectively. The two approaches of Otsu and Intermodes, on the other hand, yield almost identical flame characteristics. In addition, flame pulsating displacements in terms of center of gravity, length, and width exhibit linear dependency on the fuel flow rate (positive slope), and at a fixed fuel flow rate, pulsating displacement in terms of flame length is larger than pulsating displacement in terms of flame width. In addition, flame pulsating displacement in terms of center of gravity shows the least sensitivity to the fuel flow rate.
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