期刊
FLOW MEASUREMENT AND INSTRUMENTATION
卷 79, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.flowmeasinst.2021.101960
关键词
Two-phase flow; Flow pattern; Ultrasonic echo
资金
- National Natural Science Foundation of China [51574272]
- National Key Research and Development Program of China [2016YFC0802301]
This paper proposes a novel method for flow pattern identification using ultrasonic echo signals within the pipe wall, with experiments demonstrating that the attenuation of ultrasonic pulses varies between different flow patterns. An RBF neural network is constructed for online flow pattern identification, achieving an accuracy of 94.0% in identifying stratified flow, slug flow, and annular flow.
This paper proposes a novel flow pattern identification method using ultrasonic echo signals within the pipe wall. A two-dimensional acoustic pressure numerical model is established to investigate the ultrasonic pulse transmission behavior between the wall-gas and wall-liquid interface. Experiments were also carried out at a horizontal air-water two-phase flow loop to measure the ultrasonic echo pulse signals of stratified flow, slug flow, and annular flow. It is interesting to find that the attenuation of the ultrasonic pulse at the wall-liquid interface is faster than the attenuation at the wall-gas interface. An RBF neural network is constructed for online flow pattern identification. The normalized envelop area and the area ratios of the echo spectrum are selected as the input parameters. The results show that the stratified flow, slug flow, and annular flow can be identified with an accuracy of 94.0%.
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