Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet

doi:10.1016/j.cjche.2014.11.031

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (6): 1017-1026.DOI: 10.1016/j.cjche.2014.11.031

• 能源、资源与环境技术 • 上一篇下一篇

Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet

Hongwei Li, Junpeng Liu, Tao Li, Yunlong Zhou, Bin Sun

School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China

收稿日期:2014-05-30 修回日期:2014-11-08 出版日期:2015-06-28 发布日期:2015-07-09
通讯作者: Hongwei Li
基金资助:
Supported by the National Natural Science Foundation of China (51406031).

Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet

Hongwei Li, Junpeng Liu, Tao Li, Yunlong Zhou, Bin Sun

School of Energy and Power Engineering, Northeast Dianli University, Jilin 132012, China

Received:2014-05-30 Revised:2014-11-08 Online:2015-06-28 Published:2015-07-09
Contact: Hongwei Li
Supported by:
Supported by the National Natural Science Foundation of China (51406031).

摘要/Abstract

摘要： A new method of nonlinear analysis is established by combining phase space reconstruction and data reduction sub-frequency band wavelet. This method is applied to two types of chaotic dynamic systems (Lorenz and Rössler) to examine the anti-noise ability for complex systems. Results show that the nonlinear dynamic system analysis method resists noise and reveals the internal dynamics of a weak signal from noise pollution. On this basis, the vertical upward gas–liquid two-phase flow in a 2 mm× 0.81mmsmall rectangular channel is investigated. The frequency and energy distributions of the main oscillation mode are revealed by analyzing the time– frequency spectra of the pressure signals of different flow patterns. The positive power spectral density of singular-value frequency entropy and the damping ratio are extracted to characterize the evolution of flow patterns and achieve accurate recognition of different vertical upward gas–liquid flow patterns (bubbly flow: 100%, slug flow: 92%, churn flow: 96%, annular flow: 100%). The proposed analysis method will enrich the dynamics theory of multi-phase flow in small channel.

关键词: Small channel two-phase flow, Flow pattern dynamics, Phase space reconstruction, Data reduction sub-frequency band wavelet

Abstract: A new method of nonlinear analysis is established by combining phase space reconstruction and data reduction sub-frequency band wavelet. This method is applied to two types of chaotic dynamic systems (Lorenz and Rössler) to examine the anti-noise ability for complex systems. Results show that the nonlinear dynamic system analysis method resists noise and reveals the internal dynamics of a weak signal from noise pollution. On this basis, the vertical upward gas-liquid two-phase flow in a 2 mm× 0.81mmsmall rectangular channel is investigated. The frequency and energy distributions of the main oscillation mode are revealed by analyzing the time- frequency spectra of the pressure signals of different flow patterns. The positive power spectral density of singular-value frequency entropy and the damping ratio are extracted to characterize the evolution of flow patterns and achieve accurate recognition of different vertical upward gas-liquid flow patterns (bubbly flow: 100%, slug flow: 92%, churn flow: 96%, annular flow: 100%). The proposed analysis method will enrich the dynamics theory of multi-phase flow in small channel.

Key words: Small channel two-phase flow, Flow pattern dynamics, Phase space reconstruction, Data reduction sub-frequency band wavelet

Hongwei Li, Junpeng Liu, Tao Li, Yunlong Zhou, Bin Sun. Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet[J]. Chinese Journal of Chemical Engineering, 2015, 23(6): 1017-1026.

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Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet

Analysis of dynamic of two-phase flow in small channel based on phase space reconstruction combined with data reduction sub-frequency band wavelet

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