Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry

doi:10.1016/j.radphyschem.2022.110395

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	Synchrotron X-ray based particle image velocimetry to measure multiphase streamflow and densitometry
	Ge,Mingming 1,4; Sun,Chuanyu 2; Zhang XL(张鑫磊)1,3; CoutierDelgosha,Olivier 4; Zhang,Guangjian 1,4
刊名	RADIATION PHYSICS AND CHEMISTRY
	2022-11-01
卷号	200 页码:8
关键词	X-ray image processing X-ray attenuation technique Vapor volume fraction Particle image velocimetry Multiphase flow measurement
ISSN号	0969-806X
DOI	10.1016/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
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关键词	VISUALIZATION ; SHEET
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
内容类型	期刊论文
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.Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Peoples R China; 2.Univ Padua, Dept Ind Engn, ChemTech, I-35131 Padua, PD, Italy; 3.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing, Peoples R China; 4.Virginia Tech, Kevin T Crofton Dept Aerosp & Ocean Engn, Blacksburg, VA 24060 USA
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.