Characterization of the horizontal gas–liquid two-phase flow patterns using acoustic measurement techniques DOI
Nannan Zhao, Jianjun Feng, Guojun Zhu

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

The characterization of gas–liquid two-phase flow patterns is crucial for monitoring stability in industrial applications. However, the impact these on flow-induced sound (GTFIS) emissions remains inadequately understood. In this paper, GTFIS signals at high liquid velocities within a horizontal pipe are captured using precision hydrophone. A novel approach analysis acoustic that synergistically combines Variational Mode Decomposition, Singular Value and nonlinear signal processing methods proposed to assess dynamics. results show exhibit chaotic characteristics. Two distinct Hurst exponents observed each signal: one greater than 0.5 other less 0.5. coexistence randomly moving small bubbles intermittent contributes an increase complexity attractor phase trajectory signals, resulting maximum value correlation dimension. expansion radius dimension mesoscale can serve as early warning indicators transition from dispersed bubble slug flow. conjunction with characteristic parameters multi-scale entropy, be effectively characterized.

Язык: Английский

Characterization of the horizontal gas–liquid two-phase flow patterns using acoustic measurement techniques DOI
Nannan Zhao, Jianjun Feng, Guojun Zhu

и другие.

Physics of Fluids, Год журнала: 2025, Номер 37(1)

Опубликована: Янв. 1, 2025

The characterization of gas–liquid two-phase flow patterns is crucial for monitoring stability in industrial applications. However, the impact these on flow-induced sound (GTFIS) emissions remains inadequately understood. In this paper, GTFIS signals at high liquid velocities within a horizontal pipe are captured using precision hydrophone. A novel approach analysis acoustic that synergistically combines Variational Mode Decomposition, Singular Value and nonlinear signal processing methods proposed to assess dynamics. results show exhibit chaotic characteristics. Two distinct Hurst exponents observed each signal: one greater than 0.5 other less 0.5. coexistence randomly moving small bubbles intermittent contributes an increase complexity attractor phase trajectory signals, resulting maximum value correlation dimension. expansion radius dimension mesoscale can serve as early warning indicators transition from dispersed bubble slug flow. conjunction with characteristic parameters multi-scale entropy, be effectively characterized.

Язык: Английский

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