Measurement of particle concentration of gas-solid two-phase flow in pipe based on acoustic emission

AN Liansuo; LIU Weilong; CHEN Dong; YANG Jiedong; SHEN Guoqing; ZHANG Shiping

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Measurement of particle concentration of gas-solid two-phase flow in pipe based on acoustic emission

更新时间：2025-09-28

- Measurement of particle concentration of gas-solid two-phase flow in pipe based on acoustic emission
- Thermal Power Generation Vol. 46, Issue 11, Pages: 32-38(2017)
- 作者机构：
  
  华北电力大学国家火力发电工程技术研究中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK124;TM621.2
- Published：2017
- 稿件说明：
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AN Liansuo, LIU Weilong, CHEN Dong, et al. Measurement of particle concentration of gas-solid two-phase flow in pipe based on acoustic emission[J]. Thermal power generation, 2017, 46(11): 32-38.
DOI：

AN Liansuo, LIU Weilong, CHEN Dong, et al. Measurement of particle concentration of gas-solid two-phase flow in pipe based on acoustic emission[J]. Thermal power generation, 2017, 46(11): 32-38. DOI：

摘要

为了实现管道内气固两相流颗粒相含量的在线测量

通过安装在管道截面网状结构上的传感器对管道内不同含量的气固两相流的声发射信号进行采集

通过集合经验模分解(EEMD)算法对采集到的信号进行10层分解

比较本征模函数(IMF)分量相对于原始信号的贡献率及其频域特性

建立了颗粒相含量与各个IMF分量之间的线性关系

并对该线性关系进行实验验证。结果表明:在给料量在4~20 g/s范围内

IMF1、IMF2和IMF3都能很好反映原始信号的某些频率内的特性

可以用来建立颗粒相含量与声发射信号之间的关系;其拟合函数误差均小于10%

平均误差小于5%

与小波包分析法进行对比

EEMD方法得到的结果更为精确。采集到的信号经EEMD分解后的3个分量

均可用以监测气固两相流中的颗粒相含量。

Abstract

In order to realize online monitoring of particle concentration in gas-solid two-phase flow in pipe

the sensor installed on a wire mesh interface was applied to collect the acoustic emission(AE) signals of gas-liquid two phase flow with different particle concentrations. The signal was then decomposed by ensemble empirical mode decomposition(EEMD) algorithm

and the contribution ratio and frequency domain characteristics of the energy of the intrinsic mode function(IMF) was compared with the original signals. The linear relationship between the particle concentrations and IMFs was built up and then verified by actual cases. The results illustrate that

at the solid flow rate of 4 g/s to 20 g/s

all the IMF1

IMF2 and IMF3 components can well reflect the characteristics of some frequency of the original signals

indicating they can be used to build the relationship between particle concentration and the acoustic emission signal. The error of the fitting function is lower than 10% and the average error is lower than 5%. Compared with the wavelet packet decomposition(WPD) method

the results obtained by the EEMD method are more accurate. Therefore

the three components decomposed by the EEMD are suitable for monitoring the particle concentration in the gas-solid two-phase flow.

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