Application of time–frequency entropy from wake oscillation to gas–liquid flow pattern identification

2018 ◽  
Vol 25 (7) ◽  
pp. 1690-1700 ◽  
Author(s):  
Si-shi Huang ◽  
Zhi-qiang Sun ◽  
Tian Zhou ◽  
Jie-min Zhou
2010 ◽  
Author(s):  
Reza Ettehadi Osgouei ◽  
Mehmet Evren Ozbayoglu ◽  
Murat Ahmet Ozbayoglu ◽  
Ertan Yuksel

2012 ◽  
Vol 19 (4) ◽  
pp. 759-766 ◽  
Author(s):  
Zhiqiang Sun ◽  
Hui Gong

Abstract Gas-liquid flows abound in a great variety of industrial processes. Correct recognition of the regimes of a gasliquid flow is one of the most formidable challenges in multiphase flow measurement. Here we put forward a novel approach to the classification of gas-liquid flow patterns. In this method a flow-pattern map is constructed based on the average energy of intrinsic mode function and the volumetric void fraction of gas-liquid mixture. The intrinsic mode function is extracted from the pressure fluctuation across a bluff body using the empirical mode decomposition technique. Experiments adopting air and water as the working fluids are conducted in the bubble, plug, slug, and annular flow patterns at ambient temperature and atmospheric pressure. Verification tests indicate that the identification rate of the flow-pattern map developed exceeds 90%. This approach is appropriate for the gas-liquid flow pattern identification in practical applications.


Author(s):  
Caio Araujo ◽  
Tiago Ferreira Souza ◽  
Maurício Figueiredo ◽  
valdir estevam ◽  
Ana Maria Frattini Fileti

Author(s):  
André Mendes Quintino ◽  
Davi Lotfi Lavor Navarro da Rocha ◽  
Oscar Mauricio Hernandez Rodriguez

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