A new method for voidage correlation of gas-liquid mixture based on differential pressure fluctuation. (16th January 2019)

• Record Type: Journal Article
• Authors: Wang, Weiwei; Liang, Xiao; Zhang, Mingzhu; Sefiane, Khellil
• Is Part Of: Chemical engineering science. Volume 193(2019)
• Page Start: 15
• Page End: 26
• Publication Date: 2019-01-16
• Subjects: Gas-liquid mixture -- Differential pressure -- Fluctuation -- Voidage -- Extreme-Point Symmetric Mode Decomposition -- Fuzzy pattern identification; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2018.08.058
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: An appropriate fluctuation coefficient is extracted based on Extreme-Point Symmetric Mode Decomposition components. The specific influence factors are analyzed to develop a correlation between the fluctuation coefficient and voidage. Flow pattern is identified using fuzzy pattern recognition and statistics calculated from differential pressure. Abstract: Differential pressure of gas-liquid mixture contains abundant information about fluid flow and its nature. In this paper, a differential pressure across a Venturi tube is measured for a gas-liquid mixture. Trend component and fluctuation components of the differential pressure are extracted using Extreme-Point Symmetric Mode Decomposition. The analysis shows that the mean of the trend component is related to liquid flowrate, and the amplitude of the fluctuation components is correlated to voidage and flow pattern. Hence, a fluctuation coefficient based approach to access voidage is proposed. This is based on the trend and fluctuation components. Since there exists an influence of gas/liquid flowrate, fluid density and voidage on fluctuation coefficient, their qualitative relationships are analyzed to find the appropriate variables to modify the fluctuation coefficient. Experimental data are used to determine the appropriate specific modification parameters. The modified fluctuation coefficient is found to be flow pattern dependent, and hence fuzzy pattern recognition is adopted to identify flow patterns combining statistics from differential pressure. Finally, a flow pattern-based correlation is proposed to estimate the voidage. Verifications through confrontation with experimental results show that the proposed correlation is effective in estimating voidage of mixtures.