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Time-frequency spectral analysis of gas-liquid two-phase flow’s fluctuations

Sun Bin Wang Er-Peng Zheng Yong-Jun

Time-frequency spectral analysis of gas-liquid two-phase flow’s fluctuations

Sun Bin, Wang Er-Peng, Zheng Yong-Jun
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  • In order to study different flow patterns’ dynamic characteristics of gas-liquid two-phase flow, three time-frequency analysis methods are introduced to process the dynamic differential pressure signal of gas-liquid two-phase flow, such as the wavelet transform, Hilbert-Huang transform and adaptive optimal-kernel method. The results show that the main part of energy is transferred from frequency band 15—35 Hz to 0—8 Hz when the flow pattern changes from bubbly flow to slug flow and plug flow, and two spectrum peaks are observed at slug flow. The experimental results show that the time-frequency resolution of Hilbert-Huang transform and adaptive optimal-kernel is higher than that of wavelet transform. The extractions of ridge information based on adaptive optimal-kernel overcome the influence of fuzzy plane windowing effect, and enhance the readability of time-frequency plane information. The time-frequency analysis clearly shows the dynamic characteristics of different flow patterns, and describes the variation rules with time. It is helpful to further study the mechanism of gas-liquid two-phase flow.
    • Funds:
    [1]

    Dong F,Jin N D,Zong Y B,Wang Z Y 2008 Acta Phys. Sin. 57 6146 (in Chinese) [董 芳、金宁德、宗艳波、王振亚 2008 物理学报 57 6146 ]

    [2]

    Zheng G B, Jin N D 2009 Acta Phys. Sin. 58 4485 (in Chinese) [郑桂波、金宁德 2009 物理学报 58 4485 ]

    [3]

    Lao L Y, Zhang H J, Zhang M 1996 Application of signal processing technology to achieve two-phase flow parameter detection-Progress in Multiphase Flow Measurement Technology (Beijing: Petroleum Industry Press) pp 103—109 (in Chinese) [劳力云、张宏建、张 鸣 1996应用信号处理技术实现两相流参数检测—多相流检测技术进展(北京:石油工业出版社)第103—109页 ]

    [4]

    Jones O C, Zuber N 1975 Int. J. Multiphase Flow 2 273

    [5]

    Vince M A, Lahey R T 1982 Int. J. Multiphase Flow 8 93

    [6]

    Tutu N K 1982 Int. J. Multiphase Flow 8 443

    [7]

    Matsui G 1986 Nucl. Eng. Des. 95 221

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    Chen G, Huang Z Y, Wang B L 1999 Chin. J. Sci. Instrum. 20 117 (in Chinese) [陈 珙、黄志尧、王保良 1999仪器仪表学报 20 117 ]

    [9]

    Tan C, Dong F, Wu M M 2007 Flow Measurement and Instrumentation 18 5

    [10]

    Jin N D, He X F, Luo D 2006 Transducer and Microsystem Technology 25 29 (in Chinese) [金宁德、何晓飞、罗 彤2006传感器与微系统 25 29 ]

    [11]

    Peng Z K, Tse P W, Chu F L 2005 Mechanical Systems and Signal Processing 19 974

    [12]

    Sun B,Zhang H J 2007 Chin. J. Sens. Actuators 20 862 (in Chinese) [孙 斌、张宏建 2007传感技术学报 20 862 ]

    [13]

    Ding H, Huang Z Y, Song Z H, Yan Y 2007 Flow Measurement and Instrumentation 18 1

    [14]

    Sun B, Huang S Q, Zhou Y L, Guan Y B 2008 Chin. J. Sci. Instrum. 29 5 (in Chinese) [孙 斌、黄胜全、周云龙、关跃波 2008仪器仪表学报 29 5 ]

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    Zhang Y H,Jin G B,Li T Y 2006 Proc. CSEE 26 84 (in Chinese) [张宇辉、金国彬、李天云 2006中国电机工程学报 26 84 ]

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    Gong Z Q,Zou M W,Gao X Q,Dong W J 2005 Acta Phys. Sin. 54 3947 (in Chinese) [龚志强、邹明玮、高新全、董文杰 2005 物理学报 54 3947 ]

  • [1]

    Dong F,Jin N D,Zong Y B,Wang Z Y 2008 Acta Phys. Sin. 57 6146 (in Chinese) [董 芳、金宁德、宗艳波、王振亚 2008 物理学报 57 6146 ]

    [2]

    Zheng G B, Jin N D 2009 Acta Phys. Sin. 58 4485 (in Chinese) [郑桂波、金宁德 2009 物理学报 58 4485 ]

    [3]

    Lao L Y, Zhang H J, Zhang M 1996 Application of signal processing technology to achieve two-phase flow parameter detection-Progress in Multiphase Flow Measurement Technology (Beijing: Petroleum Industry Press) pp 103—109 (in Chinese) [劳力云、张宏建、张 鸣 1996应用信号处理技术实现两相流参数检测—多相流检测技术进展(北京:石油工业出版社)第103—109页 ]

    [4]

    Jones O C, Zuber N 1975 Int. J. Multiphase Flow 2 273

    [5]

    Vince M A, Lahey R T 1982 Int. J. Multiphase Flow 8 93

    [6]

    Tutu N K 1982 Int. J. Multiphase Flow 8 443

    [7]

    Matsui G 1986 Nucl. Eng. Des. 95 221

    [8]

    Chen G, Huang Z Y, Wang B L 1999 Chin. J. Sci. Instrum. 20 117 (in Chinese) [陈 珙、黄志尧、王保良 1999仪器仪表学报 20 117 ]

    [9]

    Tan C, Dong F, Wu M M 2007 Flow Measurement and Instrumentation 18 5

    [10]

    Jin N D, He X F, Luo D 2006 Transducer and Microsystem Technology 25 29 (in Chinese) [金宁德、何晓飞、罗 彤2006传感器与微系统 25 29 ]

    [11]

    Peng Z K, Tse P W, Chu F L 2005 Mechanical Systems and Signal Processing 19 974

    [12]

    Sun B,Zhang H J 2007 Chin. J. Sens. Actuators 20 862 (in Chinese) [孙 斌、张宏建 2007传感技术学报 20 862 ]

    [13]

    Ding H, Huang Z Y, Song Z H, Yan Y 2007 Flow Measurement and Instrumentation 18 1

    [14]

    Sun B, Huang S Q, Zhou Y L, Guan Y B 2008 Chin. J. Sci. Instrum. 29 5 (in Chinese) [孙 斌、黄胜全、周云龙、关跃波 2008仪器仪表学报 29 5 ]

    [15]

    Zhang Y H,Jin G B,Li T Y 2006 Proc. CSEE 26 84 (in Chinese) [张宇辉、金国彬、李天云 2006中国电机工程学报 26 84 ]

    [16]

    Gong Z Q,Zou M W,Gao X Q,Dong W J 2005 Acta Phys. Sin. 54 3947 (in Chinese) [龚志强、邹明玮、高新全、董文杰 2005 物理学报 54 3947 ]

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  • Received Date:  30 November 2009
  • Accepted Date:  28 May 2010
  • Published Online:  15 January 2011

Time-frequency spectral analysis of gas-liquid two-phase flow’s fluctuations

  • 1. College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China

Abstract: In order to study different flow patterns’ dynamic characteristics of gas-liquid two-phase flow, three time-frequency analysis methods are introduced to process the dynamic differential pressure signal of gas-liquid two-phase flow, such as the wavelet transform, Hilbert-Huang transform and adaptive optimal-kernel method. The results show that the main part of energy is transferred from frequency band 15—35 Hz to 0—8 Hz when the flow pattern changes from bubbly flow to slug flow and plug flow, and two spectrum peaks are observed at slug flow. The experimental results show that the time-frequency resolution of Hilbert-Huang transform and adaptive optimal-kernel is higher than that of wavelet transform. The extractions of ridge information based on adaptive optimal-kernel overcome the influence of fuzzy plane windowing effect, and enhance the readability of time-frequency plane information. The time-frequency analysis clearly shows the dynamic characteristics of different flow patterns, and describes the variation rules with time. It is helpful to further study the mechanism of gas-liquid two-phase flow.

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