Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model

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Publicado en:Scientific Reports (Nature Publisher Group) vol. 6 (Aug 2016), p. 31548-31559
Autor principal: Xiao, Qingtai
Otros Autores: Xu, Jianxin, Wang, Hua
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Nature Publishing Group
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024 7 |a 10.1038/srep31548  |2 doi 
035 |a 1903381438 
045 2 |b d20160801  |b d20160831 
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100 1 |a Xiao, Qingtai 
245 1 |a Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model 
260 |b Nature Publishing Group  |c Aug 2016 
513 |a Journal Article 
520 3 |a A new index, the estimate of the error variance, which can be used to quantify the evolution of the flow patterns when multiphase components or tracers are difficultly distinguishable, was proposed. The homogeneity degree of the luminance space distribution behind the viewing windows in the direct contact boiling heat transfer process was explored. With image analysis and a linear statistical model, the F-test of the statistical analysis was used to test whether the light was uniform, and a non-linear method was used to determine the direction and position of a fixed source light. The experimental results showed that the inflection point of the new index was approximately equal to the mixing time. The new index has been popularized and applied to a multiphase macro mixing process by top blowing in a stirred tank. Moreover, a general quantifying model was introduced for demonstrating the relationship between the flow patterns of the bubble swarms and heat transfer. The results can be applied to investigate other mixing processes that are very difficult to recognize the target. 
653 |a Image processing 
653 |a Tracers 
653 |a Heat transfer 
653 |a Statistical analysis 
653 |a Boiling 
653 |a Mathematical models 
653 |a Design of experiments 
653 |a Visual perception 
653 |a Light 
653 |a Statistical methods 
653 |a Flow pattern 
653 |a Mixing processes 
653 |a Statistical models 
653 |a Environmental 
700 1 |a Xu, Jianxin 
700 1 |a Wang, Hua 
773 0 |t Scientific Reports (Nature Publisher Group)  |g vol. 6 (Aug 2016), p. 31548-31559 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1903381438/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
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