中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry

文献类型:期刊论文

作者Ge,Mingming1,4; Sun,Chuanyu3; Zhang XL(张鑫磊)2,4; CoutierDelgosha,Olivier1; Zhang,Guangjian1,4
刊名RADIATION PHYSICS AND CHEMISTRY
出版日期2022-11-01
卷号200页码:8
ISSN号0969-806X
关键词X-ray image processing X-ray attenuation technique Vapor volume fraction Particle image velocimetry Multiphase flow measurement
DOI10.1016/j.radphyschem.2022.110395
通讯作者Sun, Chuanyu(chuanyu.sun@mail.polimi.it)
英文摘要Synchrotron-based radiation techniques are increasingly used in the field of flow condition measurements. As a complicated multiphase flow, cavitation has been investigated in a wide variety of industrial fields, to prevent damages on spillways at large dams or intensify the bacteria eradication rate during water treatments. To control the detrimental effects of cavitating flows, the dynamics of and mechanisms affecting cavitation development shall be visualized and identified in real-time. Due to the large reflection and scattering effects of multiphase flow, standard visible-light imaging technologies cannot penetrate vapor bubbles and provide extremely limited information. In this study, the synchrotron source emitted high-flux X-ray pulses are used to capture flow motion and visualize internal structures with sufficiently high spatial and temporal resolutions. The image processing procedures on raw x-ray images are developed using 2D Fourier transform (FT) and wavelet transform (WT) to implement the contrast enhancement and de-noising. Through the edge detection algorithm, tracking either seeded particles or phase interfaces inside the opaque multiphase flow can be achieved to perform the particle image velocimetry. With decomposing particle-only and particle-eliminated subplots from the X-ray phase-contrast image, the time-resolved velocity and void fraction fields are obtained simultaneously, paving a way for further flow condition analysis such as densitometry.
分类号二类/Q1
WOS关键词VISUALIZATION ; SHEET
资助项目Office of Naval Research, United States[N00014-18-S-B001] ; U.S. Department of Energy, Office of Science, and Office of Basic Energy Sciences
WOS研究方向Chemistry ; Nuclear Science & Technology ; Physics
语种英语
WOS记录号WOS:000870819100014
资助机构Office of Naval Research, United States ; U.S. Department of Energy, Office of Science, and Office of Basic Energy Sciences
其他责任者Sun, Chuanyu
源URL[http://dspace.imech.ac.cn/handle/311007/90483]  
专题力学研究所_非线性力学国家重点实验室
作者单位1.Virginia Tech, Kevin T Crofton Dept Aerosp & Ocean Engn, Blacksburg, VA 24060 USA
2.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing, Peoples R China;
3.Univ Padua, Dept Ind Engn, ChemTech, I-35131 Padua, PD, Italy;
4.Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Peoples R China;
推荐引用方式
GB/T 7714
Ge,Mingming,Sun,Chuanyu,Zhang XL,et al. Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry[J]. RADIATION PHYSICS AND CHEMISTRY,2022,200:8.
APA Ge,Mingming,Sun,Chuanyu,张鑫磊,CoutierDelgosha,Olivier,&Zhang,Guangjian.(2022).Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry.RADIATION PHYSICS AND CHEMISTRY,200,8.
MLA Ge,Mingming,et al."Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry".RADIATION PHYSICS AND CHEMISTRY 200(2022):8.

入库方式: OAI收割

来源:力学研究所

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