scholarly journals Statistical Characteristics of Void Fraction Fluctuations and Flow Regime Identification in Vertical Gas-Liquid Two-Phase Flow

1994 ◽  
Vol 8 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Nobuo HATAKEYAMA ◽  
Tadashi MASUYAMA
Keyword(s):  
Flow Regime ◽  
Void Fraction ◽  
Two Phase Flow ◽  
Statistical Characteristics ◽  
Phase Flow ◽  
Two Phase ◽  
Flow Regime Identification

Impedance-Based Void Fraction Measurement and Flow Regime Identification in Microchannel Flows

2011 ◽  
Author(s):  
Sidharth Paranjape ◽  
Susan N. Ritchey ◽  
Suresh V. Garimella
Keyword(s):  
Flow Regime ◽  
Void Fraction ◽  
High Speed ◽  
Electrical Impedance ◽  
Two Phase Flow ◽  
Phase Distribution ◽  
Electrical Conductance ◽  
Statistical Characteristics ◽  
Phase Flow ◽  
Two Phase

Electrical impedance of a two-phase mixture is a function of void fraction and phase distribution. The difference in the electrical conductance and permittivity of the two phases can be exploited to measure electrical impedance for obtaining void fraction and flow regime characteristics. An electrical impedance meter is constructed for the measurement of void fraction in microchannel two-phase flow. The experiments are conducted in air-water two-phase flow under adiabatic conditions. A transparent acrylic test section of hydraulic diameter 780 micrometer is used in the experimental investigation. The impedance void meter is calibrated against the void fraction measured using analysis of images obtained with a high-speed camera. Based on these measurements, a methodology utilizing the statistical characteristics of the void fraction signals is employed for identification of microchannel flow regimes.

Twin Rectangular Fork-Like Capacitance Sensor to Flow Regime Identification in Horizontal Co-Current Gas–Liquid Two-Phase Flow

2017 ◽  
Vol 17 (15) ◽  
pp. 4834-4842 ◽  
Author(s):  
Seyed Milad Salehi ◽  
Hajir Karimi ◽  
Ali Akbar Dastranj ◽  
Rouhollah Moosavi
Keyword(s):  
Flow Regime ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Capacitance Sensor ◽  
Two Phase ◽  
Flow Regime Identification

Two-phase flow regime identification based on the liquid-phase velocity information and machine learning

2020 ◽  
Vol 61 (10) ◽  
Author(s):  
Yongchao Zhang ◽  
Amirah Nabilah Azman ◽  
Ke-Wei Xu ◽  
Can Kang ◽  
Hyoung-Bum Kim
Keyword(s):  
Machine Learning ◽  
Liquid Phase ◽  
Phase Velocity ◽  
Flow Regime ◽  
Two Phase Flow ◽  
Phase Flow ◽  
Two Phase ◽  
Flow Regime Identification ◽  
Velocity Information
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