基于流动噪声解耦的水平管弹状流气弹特性参数测量

doi:10.16085/j.issn.1000-6613.2023-1383

化工进展 ›› 2024, Vol. 43 ›› Issue (2): 781-790.DOI: 10.16085/j.issn.1000-6613.2023-1383

基于流动噪声解耦的水平管弹状流气弹特性参数测量

李新龙¹^,²^,³(), 张昭¹^,²^,³, 王嘉辉¹^,²^,³, 张延胜¹^,²^,³, 董芳¹^,²^,³()

^1.河北大学质量技术监督学院，河北保定 071002
^2.计量仪器与系统国家地方联合工程研究中心，河北保定 071002
^3.河北省能源计量与安全检测技术重点实验室，河北保定 071002

收稿日期:2023-08-11 修回日期:2023-10-12 出版日期:2024-02-25 发布日期:2024-03-07
通讯作者: 董芳
作者简介:李新龙（2000—），男，硕士研究生，研究方向为多相流检测技术。E-mail：lxl1587618582@163.com。
基金资助:
国家自然科学基金(62173122);河北省自然科学基金(F2022201034)

Characteristic parameters measurement based on flow noise decoupling in horizontal slug flow

LI Xinlong¹^,²^,³(), ZHANG Zhao¹^,²^,³, WANG Jiahui¹^,²^,³, ZHANG Yansheng¹^,²^,³, DONG Fang¹^,²^,³()

^1.School of Quality and Technical Supervision, Hebei University, Baoding 071002, Hebei, China
^2.National & Local Joint Engineering Research Center of Metrology Instrument and System, Hebei University, Baoding 071002, Hebei, China
^3.Hebei Key Laboratory of Energy Metering and Safety Testing Technology, Hebei University, Baoding 071002, Hebei, China

Received:2023-08-11 Revised:2023-10-12 Online:2024-02-25 Published:2024-03-07
Contact: DONG Fang

摘要/Abstract

摘要：

弹状流是一种典型的气液两相间歇流动形态，气弹特性参数的测量对于弹状流摩擦压降和截面含气率等流动参数测量具有重要意义。本文设计了基于声发射原理的气弹参数测量传感器，并对不同流动条件下的水平管弹状流噪声信号进行了测量。利用鲸鱼优化算法（WOA）变分模态分解（VMD）对噪声信号进行处理，结合原始信号从能量和熵的角度进行分析，完成了对水平管弹状流噪声信号的解耦。将噪声信号分解为高频的气固噪声、中频的气液噪声与低频的液固噪声。通过对声发射时域信号分析实现了弹状流频率与气弹长度参数的测量。利用CatBoost算法选取8个特征值构建了弹状流气弹频率和气弹长度的预测模型。实验结果表明，弹状流频率预测模型平均绝对百分比误差（MAPE）为5.12％，95.25％实验点的相对偏差都在±15％范围内，气弹长度预测模型MAPE为7.77％，90.48％实验点的相对偏差都在±15％范围内。

关键词: 弹频, 气弹长度, 声发射, 流动噪声, 能量, 熵

Abstract:

Slug flow is a typical two-phase flow pattern of gas-liquid intermittent flow. The measurement of gas slug characteristic parameters is of great significance for the measurement of abrasion pressure drop in slug flow, sectional void fraction, and other flow parameters. In this paper, a gas slug parameter measurement sensor based on the acoustic emission principle was designed, and the noise signals of horizontal pipe slug flow under different flow conditions were measured. Whale optimization algorithm (WOA) was employed to optimize the variational modal decomposition (VMD) for noise signal processing. By analyzing the original signal from the perspectives of energy and entropy, the decoupling of noise signals from the horizontal pipe slug flow was achieved. The noise signals were divided into high-frequency gas-solid noise, medium-frequency gas-liquid noise, and low-frequency liquid-solid noise. The measurement of gas slug frequency and slug length was realized by analyzing the time-domain signals of acoustic emission. The CatBoost algorithm was used to select 8 feature values to construct predictive models for slug flow slug frequency and slug length. The mean absolute percentage error (MAPE) of the slug frequency prediction model was 5.12%, and the relative deviations of 95.25% of experimental points were within the range of ±15%. The mean absolute percentage error (MAPE) of the slug length prediction model was 7.77%, and the relative deviations of 90.48% of experimental points were within the range of ±15%.

Key words: slug frequency, slug length, acoustic emission, flow noise, energy, entropy

中图分类号:

TK313

李新龙, 张昭, 王嘉辉, 张延胜, 董芳. 基于流动噪声解耦的水平管弹状流气弹特性参数测量[J]. 化工进展, 2024, 43(2): 781-790.

LI Xinlong, ZHANG Zhao, WANG Jiahui, ZHANG Yansheng, DONG Fang. Characteristic parameters measurement based on flow noise decoupling in horizontal slug flow[J]. Chemical Industry and Engineering Progress, 2024, 43(2): 781-790.

图/表 17

图1 实验系统结构

图2 高精度气液两相流实验设备

表1 实验参数范围

系统压力 /MPa	温度 /℃	气相表观流速 /m·s^-1	液相表观流速 /m·s^-1	工况点
0.105	20.2	0.849~1.132	0.283~1.273	105

图3 水平管Baker流型

图4 鲸鱼优化算法变分模态分解流程

图5 气液两相流噪声的VMD时域和频域分解

图6 弹状流能量分析

图7 不同流速下C1、C2探头能量

图8 不同流速下C1、C2探头信息熵

图9 工况点（usl=0.283m/s，usg=0.849m/s）时声发射时域重构信号

图10 不同流速下弹状流弹频

图11 不同流速下弹状流气弹长度

表2 声发射信号特征公式

特征值	公式
最大值x(max)	$x m a x = a r g m a x x$
最小值x(min)	$x m i n = a r g m i n x$
平均值（ $x ¯$ ）	$x ¯ = 1 n ∑ i = 1 n x i$
标准差（Std）	$S t d = ∑ i = 1 n (x i - x ¯) 2 n - 1 12$
偏斜度（Skewness）	$S k e w n e s s = 1 n - 1 ∑ i = 1 n (x i - x ¯) 3 S D 3$
峭度（Kurtosis）	$K u r t o s i s = 1 n - 1 ∑ i = 1 n (x i - x ¯) 4 S D 3 - 3$

表2 声发射信号特征公式

特征值	公式
最大值x(max)	$x m a x = a r g m a x x$
最小值x(min)	$x m i n = a r g m i n x$
平均值（ $x ¯$ ）	$x ¯ = 1 n ∑ i = 1 n x i$
标准差（Std）	$S t d = ∑ i = 1 n (x i - x ¯) 2 n - 1 12$
偏斜度（Skewness）	$S k e w n e s s = 1 n - 1 ∑ i = 1 n (x i - x ¯) 3 S D 3$
峭度（Kurtosis）	$K u r t o s i s = 1 n - 1 ∑ i = 1 n (x i - x ¯) 4 S D 3 - 3$

图12 声发射信号特征值相关性分析

表3 CatBoost参数设置

序号	参数	参数介绍	输入
1	Loss function	损失函数	RMSE
2	Iterations	最大树数	100
3	Learning rate	学习率	0.05
4	Depth	树的深度	5
5	Random seed	随机种子数	99
6	Od type	过拟合检测类型	Iter
7	Od wait	达成优化目标以后继续迭代的次数	50

图13 预测模型

图14 误差分析

参考文献 23

1	MOHMMED A O, AL-KAYIEM H H, NASIF M S, et al. Effect of slug flow frequency on the mechanical stress behavior of pipelines[J]. International Journal of Pressure Vessels and Piping, 2019, 172: 1-9.
2	MOHMMED A O, AL-KAYIEM H H, OSMAN A B. Investigations on the slug two-phase flow in horizontal pipes: Past, presents, and future directives[J]. Chemical Engineering Science, 2021, 238: 116611.
3	KIM Hyeong-Geun, KIM Sung-Min. Experimental investigation of flow and pressure drop characteristics of air-oil slug flow in a horizontal tube[J]. International Journal of Heat and Mass Transfer, 2022, 183(PA): 122063.
4	WILKENS R J, THOMAS D K. A simple technique for determining slug frequency using differential pressure[J]. Journal of Energy Resources Technology, 2008, 130(1): 014501.
5	BERTOLA V, CAFARO E. Slug frequency measurement techniques in horizontal gas-liquid flow[J]. AIAA Journal, 2002, 40: 1010-1012.
6	王长亮, 靳遵龙, 王永庆, 等. 微通道气液两相流研究进展[J]. 化工进展, 2017, 36(S1): 1-7.
	WANG Changliang, JIN Zunlong, WANG Yongqing, et al. Research progress of gas-liquid two-phase flow in micro-channels[J]. Chemical Industry and Engineering Progress, 2017, 36(S1): 1-7.
7	唐静, 张旭斌, 蔡旺锋, 等. 微通道内液-液两相流研究进展[J]. 化工进展, 2013, 32(8): 1743-1748.
	TANG Jing, ZHANG Xubin, CAI Wangfeng, et al. Research progress of liquid-liquid two-phase flow in microchannels[J]. Chemical Industry and Engineering Progress, 2013, 32(8): 1743-1748.
8	陈蔚阳, 宋欣, 殷亚然, 等. 矩形微通道内液相黏度对气泡界面的作用机制[J]. 化工进展, 2023, 42(7): 3468-3477.
	CHEN Weiyang, SONG Xin, YIN Yaran, et al. Effect of liquid viscosity on bubble interface in the rectangular microchannel[J]. Chemical Industry and Engineering Progress, 2023, 42(7): 3468-3477.
9	AL-KAYIEM H H, MOHMMED A O, AL-HASHIMY Z I, et al. Statistical assessment of experimental observation on the slug body length and slug translational velocity in a horizontal pipe[J]. International Journal of Heat and Mass Transfer, 2017, 105: 252-260.
10	CAZAREZ-CANDIA O, BENÍTEZ-CENTENO O C. Comprehensive experimental study of liquid-slug length and Taylor-bubble velocity in slug flow[J]. Flow Measurement and Instrumentation, 2020, 72: 101697.
11	ARCHIBONG-ESO A, BABA Y, ALIYU A, et al. On slug frequency in concurrent high viscosity liquid and gas flow[J]. Journal of Petroleum Science and Engineering, 2018, 163: 600-610.
12	ZHAI Lusheng, XU Bo, XIA Haiyan, et al. Simultaneous measurement of velocity profile and liquid film thickness in horizontal gas-liquid slug flow by using ultrasonic Doppler method[J]. Chinese Journal of Chemical Engineering, 2023, 58: 323-340.
13	BAENSCH F, BAER W, WOSSIDLO P, et al. Damage evolution detection in a pipeline segment under bending by means of acoustic emission[J]. International Journal of Pressure Vessels and Piping, 2023, 201: 104863.
14	ZHANG Han, LIN Zhenyuan. Analytical solution of acoustic emission in soft material with cracks by using reciprocity theorem[J]. Engineering Fracture Mechanics, 2023, 277: 108996.
15	FANG Lide, LIANG Yujiao, LU Qinghua, et al. Flow noise characterization of gas-liquid two-phase flow based on acoustic emission[J]. Measurement, 2013, 46(10): 3887-3897.
16	HII N C, TAN C K, WILCOX S J, et al. An investigation of the generation of acoustic emission from the flow of particulate solids in pipelines[J]. Powder Technology, 2013, 243: 120-129.
17	HUSIN S, ADDALI A, MBA D. Feasibility study on the use of the acoustic emission technology for monitoring flow patterns in two phase flow[J]. Flow Measurement and Instrumentation, 2013, 33: 251-256.
18	ZHAO Ning, LI Chaofan, JIA Huijun, et al. Acoustic emission-based flow noise detection and mechanism analysis for gas-liquid two-phase flow[J]. Measurement, 2021, 179: 109480.
19	ZHOU Yefeng, YANG Lei, LU Yujian, et al. Flow regime identification in gas-solid two-phase fluidization via acoustic emission technique[J]. Chemical Engineering Journal, 2018, 334: 1484-1492.
20	HAN Li, JING Huitian, ZHANG Rongchang, et al. Wind power forecast based on improved long short term memory network[J]. Energy, 2019, 189: 116300.
21	WANG Xin, GUO Liejin, ZHANG Ximin. An experimental study of the statistical parameters of gas-liquid two-phase slug flow in horizontal pipeline[J]. International Journal of Heat and Mass Transfer, 2007, 50(11/12): 2439-2443.
22	BENDIKSEN K H. An experimental investigation of the motion of long bubbles in inclined tubes[J]. International Journal of Multiphase Flow, 1984, 10(4): 467-483.
23	DOROGUSH A V, ERSHOV V, GULIN A. CatBoost: Gradient boosting with categorical features support[EB/OL]. 2018: arXiv: 1810.11363. .

[1]	田时泓, 郭磊, 李娜, 宇文超, 许磊, 郭胜惠, 巨少华. 微波加热强化闪蒸工艺的科学基础及发展趋势[J]. 化工进展, 2024, 43(1): 135-144.
[2]	王钰琢, 李刚. 硫、氮共掺杂三维石墨烯的全固态超级电容器[J]. 化工进展, 2023, 42(4): 1974-1982.
[3]	侯千姿, 郭心怡, 焦子悦, 费强. 好氧性嗜甲烷菌生物能供给与调控的研究进展[J]. 化工进展, 2023, 42(1): 86-93.
[4]	赵同心, 赵磊, 张延平, 李寅. 甲酸微生物转化研究进展[J]. 化工进展, 2023, 42(1): 67-72.
[5]	苗嘉旭, 陈仙江, 周洋洋, 贠智强, 张玉红, 毕海胜. 基于盲目反卷积算法的X90管线钢腐蚀声发射信号分析[J]. 化工进展, 2022, 41(S1): 60-71.
[6]	顾旭波, 廖传华, 王常青. 超临界水氧化能量回收系统的设计优化[J]. 化工进展, 2022, 41(9): 5094-5102.
[7]	王子杰, 顾煜炯, 刘浩晨, 李长耘. 热电联产机组热电解耦技术对比分析[J]. 化工进展, 2022, 41(7): 3564-3572.
[8]	姜华, 张子惠, 宫武旗, 常越勇. MVR分质提盐蒸发结晶系统设计及性能分析[J]. 化工进展, 2022, 41(7): 3947-3956.
[9]	莫乾赐, 叶海波, 林行素, 李国华, 陈伟崇, 卢苇. 基于测试数据的蔗渣锅炉能量分析及能效提升措施[J]. 化工进展, 2022, 41(6): 3350-3359.
[10]	刘环博, 李健, 颜蓓蓓, 董晓珊, 陈冠益. 湿式烘焙技术研究进展[J]. 化工进展, 2022, 41(6): 3221-3234.
[11]	李艺凡, 王志鹏. 带有周期性扰流结构的微通道内流动与传热特性[J]. 化工进展, 2022, 41(6): 2893-2901.
[12]	邵明帅, 张超, 吴华南, 王宁, 陈钦冬, 徐期勇. 水热耦合厌氧消化技术处理餐厨垃圾沼渣沼液及工艺能耗分析[J]. 化工进展, 2022, 41(5): 2733-2742.
[13]	马进伟, 方浩, 陈茜茜, 陈海飞, 童维维. 基于焓-熵-㶲平衡的无盖板PV/T系统热力学分析与优化[J]. 化工进展, 2022, 41(4): 1840-1847.
[14]	阮敏, 孙宇桐, 黄忠良, 李辉, 张轩, 吴希锴, 赵成, 姚世蓉, 张拴保, 张巍, 黄兢. 污泥预处理-厌氧消化体系的能源经济性评价[J]. 化工进展, 2022, 41(3): 1503-1516.
[15]	林清宇, 王祝, 冯振飞, 凌彪, 陈镇. 扭带结构影响管内传热与熵产的研究进展[J]. 化工进展, 2022, 41(11): 5709-5721.

基于流动噪声解耦的水平管弹状流气弹特性参数测量

Characteristic parameters measurement based on flow noise decoupling in horizontal slug flow

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 17

参考文献 23

相关文章 15

编辑推荐

Metrics

本文评价