H. Ji, B. Jiang, Zhiyao Huang, Baoliang Wang, Haiqing Li
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引用次数: 4
Abstract
Based on image sequence, a void fraction measurement model of gas-liquid two-phase flow in mini-pipe is developed using support vector regression (SVR) and particle swarm optimization (PSO). A high-speed image acquisition system is constructed to capture dynamic gray image sequence of gas-liquid two-phase flow. The area ratio of gas phase in longitudinal section of the pipe for every image of image sequence is calculated and one-dimension time series can be obtained. And then the mean value, the standard deviation and the nonsymmetrical coefficient are extracted from the one-dimension time series as input vector of the void fraction measurement model. The experiment is carried out in the horizontal mini-pipe with inner diameter of 4.0mm. The results show that the presented void fraction measurement model is feasible and effective. The maximum relative errors of void fraction of slug flow and bubbly flow are less than 8%.
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