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Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model
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 c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985748/ https://www.ncbi.nlm.nih.gov/pubmed/27527065 http://dx.doi.org/10.1038/srep31548 |
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author | Xiao, Qingtai Xu, Jianxin Wang, Hua |
author_facet | Xiao, Qingtai Xu, Jianxin Wang, Hua |
author_sort | Xiao, Qingtai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4985748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49857482016-08-22 Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model Xiao, Qingtai Xu, Jianxin Wang, Hua Sci Rep Article 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. Nature Publishing Group 2016-08-16 /pmc/articles/PMC4985748/ /pubmed/27527065 http://dx.doi.org/10.1038/srep31548 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Xiao, Qingtai Xu, Jianxin Wang, Hua Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title | Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title_full | Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title_fullStr | Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title_full_unstemmed | Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title_short | Quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
title_sort | quantifying the evolution of flow boiling bubbles by statistical testing and image analysis: toward a general model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985748/ https://www.ncbi.nlm.nih.gov/pubmed/27527065 http://dx.doi.org/10.1038/srep31548 |
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