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Title:
Spatial pyramidal cross correlation for particle image velocimetry
Author: Wang HP; Wu P; Gao Q; Wang JJ; Wang JJ
Source: SCIENCE CHINA-TECHNOLOGICAL SCIENCES
Issued Date: 2018-06-01
Volume: 61, Issue:6, Pages:867-878
English Abstract: A spatial pyramidal cross-correlation based on interrogation area sub-division is introduced to improve the measurement resolution in particle image velocimetry (PIV). The high-resolution velocity can be achieved with a velocity prediction model via coarse cross-correlation. The prediction formula is deduced from the frequency response of the moving average (MA). The performance of this method was assessed using synthetically generated images of sinusoidal shear flow, two-dimensional vortical cellular flow, and homogeneous turbulence. A real PIV experiment of turbulent boundary layer was used to evaluate the new method. The results indicate that the spatial pyramid cross-correlation can robustly increase the spatial resolution.
Keyword: particle image velocimetry (PIV) ; cross correlation ; spatial resolution ; moving average
Language: 英语
Indexed Type: SCI ; EI
DOI: 10.1007/s11431-017-9191-3
DOC Type: Article
WOS Subject: Engineering, Multidisciplinary ; Materials Science, Multidisciplinary
WOS Subject Extended: Engineering ; Materials Science
WOS Keyword Plus: SPACE-TIME CORRELATIONS ; TURBULENT SHEAR FLOWS ; DEFORMATION METHODS ; PIV ; RESOLUTION ; INTERROGATION ; ACCURACY
WOS ID: WOS:000434806700007
ISSN: 1674-7321
Funder: National Natural Science Foundation of China(11702302 ; Fundamental Research Funds for Central Universities(YWF-16-JCTD-A-05) ; Natural Science Foundation of Jiangsu Province(BK20140344) ; 51406127 ; 11572331)
Classification: 二类
Ranking: 1
Citation statistics:
Content Type: 期刊论文
URI: http://dspace.imech.ac.cn/handle/311007/77514
Appears in Collections:非线性力学国家重点实验室_期刊论文

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Recommended Citation:
Wang HP,Wu P,Gao Q,et al. Spatial pyramidal cross correlation for particle image velocimetry[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2018-06-01,61(6):867-878.
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