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Status已发表Published
TitleNon-uniformity quantification of temperature and concentration fields by statistical measure and image analysis
Creator
Date Issued2017
Source PublicationApplied Thermal Engineering
ISSN1359-4311
Volume124Pages:1134-1141
Abstract

The purpose of this study is to introduce a new technique for quantifying the non-uniformity parameters of temperature and concentration fields. This technique, non-uniformity coefficient (NUC), based on uniform design theory is illustrated by using numerical modeling of microchannel heat sinks with complex structure and computer experiments combined with image analysis. Based on the statistical analogy of star discrepancy, it takes into account the time space and position information (TSPI) of objective. Some of the methods reported in the literature are not found to be able to better characterize and rank very general class of temperature fields correctly. Effectiveness of the new method is also demonstrated on the open imaging data of concentration fields. Furthermore, this novel method could be applied to studying a variety of temperature distribution problems in which temperatures are measured with different scales. © 2017 Elsevier Ltd

KeywordCharacterization of field uniformity Image analysis Microchannel heat sinks with complex structure Star discrepancy Temperature distribution
DOI10.1016/j.applthermaleng.2017.06.073
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaThermodynamics ; Energy & Fuels ; Engineering ; Mechanics
WOS SubjectThermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics
WOS IDWOS:000407185000106
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/5066
CollectionResearch outside affiliated institution
Affiliation
1.State Key Laboratory of Complex Nonferrous Metal Resources Clean Utilization, Kunming University of Science and Technology, Kunming, 650093, China
2.Faculty of Metallurgical and Energy Engineering, Kunming University of Science and Technology, Kunming, 650093, China
3.Department of Computer Science, University College London, London, WC1E 6EA, United Kingdom
4.Quality Development Institute, Kunming University of Science and Technology, Kunming, 650093, China
5.School of Mathematics, University of Manchester, Manchester, M13 9PL, United Kingdom
Recommended Citation
GB/T 7714
Xiao, Qingtai,Zhai, Yuling,Lv, Zhihanet al. Non-uniformity quantification of temperature and concentration fields by statistical measure and image analysis[J]. Applied Thermal Engineering, 2017, 124: 1134-1141.
APA Xiao, Qingtai, Zhai, Yuling, Lv, Zhihan, Xu, Jianxin, Pan, Jianxin, & Wang, Hua. (2017). Non-uniformity quantification of temperature and concentration fields by statistical measure and image analysis. Applied Thermal Engineering, 124, 1134-1141.
MLA Xiao, Qingtai,et al."Non-uniformity quantification of temperature and concentration fields by statistical measure and image analysis". Applied Thermal Engineering 124(2017): 1134-1141.
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