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机械工程学报

机械工程学报 ›› 2017, Vol. 53 ›› Issue (2): 143-149.doi: 10.3901/JME.2017.02.143

• 可再生能源与工程热物理 • 上一篇    下一篇

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除尘器气液两相流动形态识别的特征参数挖掘*

魏涛, 李小川, 胡海彬, 王冬雪, 向武   

  1. 中国矿业大学化工学院 徐州 221008
  • 出版日期:2017-01-20 发布日期:2017-01-20
  • 作者简介:

    魏涛，男，1993年出生。主要研究方向为分离装备多相流动特征参数挖掘。

    E-mail：1632189021@qq.com

    李小川(通信作者)，男，1984年出生，博士，讲师，硕士研究生导师。主要研究方向为分离装备及多相流动、颗粒运动与介尺度科学、过程工程与过程强化等。

    E-mail：xiaochuanli2008@163.com

  • 基金资助:
    * 国家自然科学基金(51404252)、中国博士后科学基金面上资助(2016M590522)、江苏省大学生创新训练计划(201610290084X)和中国矿业大学大学生创新创业基金立项大学生创新(DC201622)资助项目; 20160613收到初稿，20161025收到修改稿;

Characteristic Parameters Mining of Gas-liquid Two-phase Flow Pattern Recognition of Wet Dust Scrubber

WEI Tao, LI Xiaochuan, HU Haibin, WANG Dongxue, XIANG Wu   

  1. School of Chemical Engineering and Technology， China University of Mining and Technology， Xuzhou 221008
  • Online:2017-01-20 Published:2017-01-20

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摘要：

将自激式除尘器气相压力信号的概率密度和频谱分析结果与气液两相流动形态相关联，挖掘气液两相定量识别的特征参数，结果表明：气相压力的随机波动过程与初始液位和气流速度密切相关，初始液位越高、气流速度越大，压力信号波动性越强，反映出气液流动耦合程度越剧烈;除尘器气相压力的频谱以0~10 Hz低频为背景(反映液面整体波动状态)，伴随20 Hz左右的较高频率频谱(反映气流对液相的剪切和卷吸等剧烈流动状态)，功率谱密度(Power spectral density，PSD)分布可以较充分地反映气液流动的细节特征;气相压力的概率密度参数μ、σ和PSD分布特征能较好地反映气液两相流动形态的典型特征，可作为气液两相流动形态识别的特征参数。

关键词: 定量识别, 气液流动形态, 特征参数, 自激式除尘器

Abstract: The probability density and spectral analysis results of the gas phase pressure signal of the self-excited dust scrubber are correlated with the gas-liquid two-phase flow pattern, which is used to identify the characteristic parameters of gas-liquid two phase identification. Research results show that the random fluctuation of gas pressure is closely related to the initial liquid level and the velocity of flow. The higher the initial liquid level, flow velocity increasing, the pressure fluctuation signal of gas-liquid flow is stronger, reflecting the coupling degree of intensity. The frequency spectrum of the gas phase pressure of the dust scrubber is based on the low frequency 0-10 Hz (reflecting the overall fluctuation of the liquid level); and the high frequency spectrum is accompanied by 20 Hz (reflecting the flow of air to the liquid phase of the shear and entrainment and other violent flow state). The power spectral density (PSD) distribution can fully reflect the characteristics of gas-liquid flow; The probability density parameters(μ、σ) and PSD distribution characteristics of gas phase pressure can better reflect the typical characteristics of gas-liquid two-phase flow pattern; And it can be used as the characteristic parameter to identify gas-liquid two-phase flow pattern.

Key words: characteristic parameter, gas-liquid flow pattern, quantitative identification, self excited dust scrubber

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