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| Flow Pattern Identification of CO2 Gas-liquid Two-phase Flow Based on Multiscale Entropy Analysis |
| ZHANG Wenbiao,WANG Ganghua,SHAO Ding,ZHANG Jie |
| School of Control and Computer Engineering,North China Electric Power University,Beijing 102206, China |
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Abstract A group of electrode pairs that are most sensitive to the change of flow patterns are selected from four-electrode concave sensor to obtain capacitance time series from different flow patterns of CO2 gas-liquid two-phase flow and capacitance time series are analyzed with multi-scale entropy (MSE). Three characteristics in the multiscale entropy curve, which are front multiscale entropy rate, middle multiscale entropy rate, terminal multiscale entropy intercept,are used to identify the flow pattern under different gas-liquid two-phase flow conditions. The identification results are compared with the real flow pattern from two-phase flow pictures obtained by the high-speed camera. The results show that the dynamic characteristics of two-phase flow can be fully represented by the multiscale entropy curve of the capacitance time series and the four flow patterns of stratified flow, slug flow, bubble flow and churn flow can be identified using the three characteristics of the multiscale entropy curve with the accuracy of more than 99%.
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Received: 22 December 2022
Published: 04 July 2024
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| Fund:National Natural Science Foundation of China;National Natural Science Foundation of China |
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2024, Vol. 45 
