| Citation: | FENG Ruishi, ZHU Pengfei, LIU Zhenxia, et al. Flow pattern identification model of gas-oil two-phase flow in the scavenge pipe with images processing[J]. Journal of Aerospace Power, 2025, 40（3）：20230362 doi: 10.13224/j.cnki.jasp.20230362
|
To explore the phase distribution characteristics of the oil-gas two-phase flow in scavenge pipe of aero-engine lubrication system, and achieve accurate flow pattern identification, a flow pattern identification model with image processing was proposed based on the typical flow patterns images obtained from a horizontal pipe under the working condition of aero-engine. Four typical flow patterns emerged in this experiment: slug, stratified, wavy, and annular flow. By image processing technologies such as bilateral filter, binarization, and wavelet decomposition, feature parameters were extracted from the images and used as input to the model. The identification model based on Elman Recurrent Neural Networks was established through training and verification, and it can successfully identify four different flow patterns. The identification accuracy of the model was 93.06%, and the robustness index macro-F1 was 97.60% on the verification set.
| [1] |
刘振侠,江平. 航空发动机机械系统设计[M]. 北京: 科学出版社,2022. LIU Zhenxia,JIANG Ping. Mechanical system design of aero-engine[M]. Beijing: Science Press,2022. (in Chinese
LIU Zhenxia, JIANG Ping. Mechanical system design of aero-engine[M]. Beijing: Science Press, 2022. (in Chinese)
|
| [2] |
FLOUROS M,KANARACHOS A,YAKINTHOS K,et al. Two-phase flow pressure drop in corrugated tubes used in an aero-engine oil system[J]. Journal of Engineering for Gas Turbines and Power,2016,138(6): 062603. doi: 10.1115/1.4031627
|
| [3] |
KANARACHOS S,FLOUROS M. Simulation of the air-oil mixture flow in the scavenge pipe of an aero engine using generalized interphase momentum exchange models[J]. WSEAS Transactions on Fluid Mechanics,2014,9: 144-153.
|
| [4] |
陈家琅,陈涛平. 石油气液两相管流[M]. 2版. 北京: 石油工业出版社,2010. CHEN Jialang,CHEN Taoping. Liquid-liquid two-phase pipeline flow of petroleum gas[M]. 2nd ed. Beijing: Petroleum Industry Press,2010. (in Chinese
CHEN Jialang, CHEN Taoping. Liquid-liquid two-phase pipeline flow of petroleum gas[M]. 2nd ed. Beijing: Petroleum Industry Press, 2010. (in Chinese)
|
| [5] |
MANDHANE J M,GREGORY G A,AZIZ K. A flow pattern map for gas-liquid flow in horizontal pipes[J]. International Journal of Multiphase Flow,1974,1(4): 537-553. doi: 10.1016/0301-9322(74)90006-8
|
| [6] |
WEISMAN J,DUNCAN D,GIBSON J,et al. Effects of fluid properties and pipe diameter on two-phase flow patterns in horizontal lines[J]. International Journal of Multiphase Flow,1979,5(6): 437-462. doi: 10.1016/0301-9322(79)90031-4
|
| [7] |
SPEDDING P L,NGUYEN V T. Regime maps for air water two phase flow[J]. Chemical Engineering Science,1980,35(4): 779-793. doi: 10.1016/0009-2509(80)85062-7
|
| [8] |
TAITEL Y,DUKLER A E. A model for predicting flow regime transitions in horizontal and near horizontal gas-liquid flow[J]. AIChE Journal,1976,22(1): 47-55. doi: 10.1002/aic.690220105
|
| [9] |
BARNEA D,SHOHAM O,TAITEL Y. Flow pattern transition for downward inclined two phase flow; horizontal to vertical[J]. Chemical Engineering Science,1982,37(5): 735-740. doi: 10.1016/0009-2509(82)85033-1
|
| [10] |
HUBBARD M G. An analysis of horizontal gas-liquid slug flow[D]. Houston,US: University of Houston,1965.
|
| [11] |
周云龙,孙斌,李岩,等. 倾斜下降管内气-液两相流流型PSD特征[J]. 热科学与技术,2004,3(2): 129-132. ZHOU Yunlong,SUN Bin,LI Yan,et al. PSD characteristics of gas-liquid two-phase flow pattern in inclined downward tube[J]. Journal of Thermal Science and Technology,2004,3(2): 129-132. (in Chinese
ZHOU Yunlong, SUN Bin, LI Yan, et al. PSD characteristics of gas-liquid two-phase flow pattern in inclined downward tube[J]. Journal of Thermal Science and Technology, 2004, 3(2): 129-132. (in Chinese)
|
| [12] |
纪晨晨. 电容层析成像的2D图像重建及流型识别算法研究[D]. 西安: 西安科技大学,2021. JI Chenchen. Research on 2D image reconstruction and flow pattern recognition of electrical capacitance tomography[D]. Xi’an: Xi’an University of Science and Technology,2021. (in Chinese
JI Chenchen. Research on 2D image reconstruction and flow pattern recognition of electrical capacitance tomography[D]. Xi’an: Xi’an University of Science and Technology, 2021. (in Chinese)
|
| [13] |
方立德,张垚,张万岭,等. 基于声发射技术的垂直管气液两相流动检测方法[J]. 化工学报,2014,65(4): 1243-1250. FANG Lide,ZHANG Yao,ZHANG Wanling,et al. Flow detection technology based on acoustic emission of gas-liquid two-phase flow in vertical pipe[J]. CIESC Journal,2014,65(4): 1243-1250. (in Chinese
FANG Lide, ZHANG Yao, ZHANG Wanling, et al. Flow detection technology based on acoustic emission of gas-liquid two-phase flow in vertical pipe[J]. CIESC Journal, 2014, 65(4): 1243-1250. (in Chinese)
|
| [14] |
BUI DINH T,CHOI T S. Application of image processing techniques in air/water two phase flow[J]. Mechanics Research Communications,1999,26(4): 463-468. doi: 10.1016/S0093-6413(99)00050-6
|
| [15] |
施丽莲. 基于数字图像识别技术的气液两相流参数检测的研究[D]. 杭州: 浙江大学,2004. SHI Lilian. Study on parameter measurement of gas-liquid two-phase flow based on digital image recognition[D]. Hangzhou: Zhejiang University,2004. (in Chinese
SHI Lilian. Study on parameter measurement of gas-liquid two-phase flow based on digital image recognition[D]. Hangzhou: Zhejiang University, 2004. (in Chinese)
|
| [16] |
WANG Hongyi,DONG Feng. Image features extraction of gas/liquid two-phase flow in horizontal pipeline by GLCM and GLGCM[C]//Proceedings of the 9th International Conference on Electronic Measurement and Instruments. Piscataway,US: IEEE,2009: 2.135-2.139.
|
| [17] |
ZHANG Wenyin,SHIH F Y,JIN Ningde,et al. Recognition of gas-liquid two-phase flow patterns based on improved local binary pattern operator[J]. International Journal of Multiphase Flow,2010,36(10): 793-797. doi: 10.1016/j.ijmultiphaseflow.2010.06.002
|
| [18] |
SHANTHI C,PAPPA N,ASWINI SUGANYA J. Digital image processing based flow regime identification of gas/liquid two-phase flow[J]. IFAC Proceedings Volumes,2013,46(32): 409-414. doi: 10.3182/20131218-3-IN-2045.00170
|
| [19] |
ZHOU Yunlong,CHEN Fei,SUN Bin. Identification method of gas-liquid two-phase flow regime based on image multi-feature fusion and support vector machine[J]. Chinese Journal of Chemical Engineering,2008,16(6): 832-840. doi: 10.1016/S1004-9541(09)60002-1
|
| [20] |
仝卫国,庞雪纯,朱赓宏. 基于卷积神经网络的气液两相流流型识别方法[J]. 系统仿真学报,2021,33(4): 883-891. TONG Weiguo,PANG Xuechun,ZHU Genghong. Gas-liquid two-phase flow pattern recognition method based on convolutional neural network[J]. Journal of System Simulation,2021,33(4): 883-891. (in Chinese
TONG Weiguo, PANG Xuechun, ZHU Genghong. Gas-liquid two-phase flow pattern recognition method based on convolutional neural network[J]. Journal of System Simulation, 2021, 33(4): 883-891. (in Chinese)
|
| [21] |
刘俊宏. 基于图像处理和小波卷积神经网络的气液两相流流型识别方法[D]. 吉林: 东北电力大学,2022. LIU Junhong. Flow pattern recognition method for gas-liquid two-phase flow based on image processing and wavelet convolution neural network[D]. Jilin: Northeast Dianli University,2022. (in Chinese
LIU Junhong. Flow pattern recognition method for gas-liquid two-phase flow based on image processing and wavelet convolution neural network[D]. Jilin: Northeast Dianli University, 2022. (in Chinese)
|
| [22] |
陈飞. 基于数字图像处理的气液两相流流型智能识别方法[D]. 吉林: 东北电力大学,2008. CHEN Fei. The identification method of gas-liquid two-phase flow regime based on digital image processing[D]. Jilin: Northeast Dianli University,2008. (in Chinese
CHEN Fei. The identification method of gas-liquid two-phase flow regime based on digital image processing[D]. Jilin: Northeast Dianli University, 2008. (in Chinese)
|
| [23] |
李蕴奇. 基于小波变换的图像阈值去噪及其效果评估[J]. 东北师大学报(自然科学版),2012,44(1): 60-66. LI Yunqi. Image threshold de-noising based on wavelet transform and performance evaluation[J]. Journal of Northeast Normal University (Natural Science Edition),2012,44(1): 60-66. (in Chinese
LI Yunqi. Image threshold de-noising based on wavelet transform and performance evaluation[J]. Journal of Northeast Normal University (Natural Science Edition), 2012, 44(1): 60-66. (in Chinese)
|
| [24] |
MALLAT S G. A theory for multiresolution signal decomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7): 674-693. doi: 10.1109/34.192463
|
| [25] |
柳小桐. BP神经网络输入层数据归一化研究[J]. 机械工程与自动化,2010(3): 122-123,126. LIU Xiaotong. Study on data normalization in BP neural network[J]. Mechanical Engineering & Automation,2010(3): 122-123,126. (in Chinese
LIU Xiaotong. Study on data normalization in BP neural network[J]. Mechanical Engineering & Automation, 2010(3): 122-123, 126. (in Chinese)
|
| [26] |
ELMAN J. Finding structure in time[J]. Cognitive Science,1990,14(2): 179-211. doi: 10.1207/s15516709cog1402_1
|
| [27] |
丛爽,高雪鹏. 几种递归神经网络及其在系统辨识中的应用[J]. 系统工程与电子技术,2003,25(2): 194-197. CONG Shuang,GAO Xuepeng. Recurrent neural networks and their application in system identification[J]. Systems Engineering and Electronics,2003,25(2): 194-197. (in Chinese
CONG Shuang, GAO Xuepeng. Recurrent neural networks and their application in system identification[J]. Systems Engineering and Electronics, 2003, 25(2): 194-197. (in Chinese)
|
| [28] |
丁硕,常晓恒,巫庆辉,等. Elman和BP神经网络在模式分类领域内的对比研究[J]. 现代电子技术,2014,37(8): 12-14,18. DING Shuo,CHANG Xiaoheng,WU Qinghui,et al. Comparative study of Elman and BP neural networks used for pattern classification[J]. Modern Electronics Technique,2014,37(8): 12-14,18. (in Chinese
DING Shuo, CHANG Xiaoheng, WU Qinghui, et al. Comparative study of Elman and BP neural networks used for pattern classification[J]. Modern Electronics Technique, 2014, 37(8): 12-14, 18. (in Chinese)
|
| [29] |
张开放,苏华友,窦勇. 一种基于混淆矩阵的多分类任务准确率评估新方法[J]. 计算机工程与科学,2021,43(11): 1910-1919. ZHANG Kaifang,SU Huayou,DOU Yong. A new multi-classification task accuracy evaluation method based on confusion matrix[J]. Computer Engineering and Science,2021,43(11): 1910-1919. (in Chinese
ZHANG Kaifang, SU Huayou, DOU Yong. A new multi-classification task accuracy evaluation method based on confusion matrix[J]. Computer Engineering and Science, 2021, 43(11): 1910-1919. (in Chinese)
|
| [30] |
周志华. 机器学习[M]. 北京: 清华大学出版社,2016. ZHOU Zhihua. Machine learning[M]. Beijing: Tsinghua University Press,2016. (in Chinese
ZHOU Zhihua. Machine learning[M]. Beijing: Tsinghua University Press, 2016. (in Chinese)
|
DownLoad:
