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Optical Measurement System of Gas-liquid Two-phase Flow in Small Channels

Author: XuXiaoHui
Tutor: WangBaoLiang
School: Zhejiang University
Course: Detection Technology and Automation
Keywords: Two-phase flow Optical Measurement Small diameter Flow pattern identification Slug Wavelet Transform
CLC: O359.1
Type: Master's thesis
Year: 2011
Downloads: 97
Quote: 0
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Abstract


Two-phase flow exists widely in petroleum , chemical and other industrial processes. In recent years , with the rapid development of small industrial equipment , small diameter two-phase two-phase field parameter measurements gradually become a new research hotspot. Due to surface tension and other factors, the role of small diameter flow characteristics of two-phase flow is different from conventional diameter, therefore , small diameter two-phase two-phase flow parameter measurement method becomes one of the hot areas of research paper design a small diameter optical parameters of two-phase flow measurement system and use the system for three sizes of small diameter gas-liquid flow experiments are performed . The main contents and innovations are summarized as follows : ( a ) build a set of optical measuring device as the core of small diameter two-phase flow measurement system , and the application of the system , respectively diameter of 1.8mm, 3.1mm and 4.0mm the small diameter gas-liquid flow experiments , the results show that the designed optical measurement system can effectively measure the small diameter gas-liquid flow parameters. ( 2 ) on the slug flow fluctuations caused by the optical signal analysis of the situation , the results show that the optical signal fluctuations contains a wealth of features slug flow parameters , based photocell output signal amplitude and phase difference of judgment on both sides of the interface phase gas-liquid flow distribution and flow direction and other information for slug flow parameter measurement study provides a reference. ( 3 ) the use of probability density functions , Fourier transform and continuous wavelet transform of the optical signal , by comparing the results of the analysis found that different flow patterns in the time-domain statistical characteristics , frequency domain characteristics, and time-frequency domain characteristics have obvious differences, therefore , as the basis for an optical signal flow pattern identification is a viable option. ( 4 ) , respectively, using the multi-resolution decomposition and wavelet packet decomposition technique to extract the energy of the optical signals of different frequency characteristics , design flow based on support vector machine classifiers and feature vectors of energy input as a classifier to achieve small diameter liquid two-phase flow pattern identification . The results showed that the two flow pattern identification methods are effective and has high accuracy , consistency, good benefits .

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CLC: > Mathematical sciences and chemical > Mechanics > Fluid Mechanics > Multiphase flow > Liquid, gas (vapor) two-phase flow
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