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Leakage Evaluation by Virtual Entropy Generation (VEG) Method

Leakage through microscale or nanoscale cracks is usually hard to observe, difficult to control, and causes significant economic loss. In the present research, the leakage in a pipe was evaluated by the virtual entropy generation (VEG) method. In virtual entropy generation method, the “measured entr...

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Detalles Bibliográficos
Autores principales: Zhang, Zhichao, Drapaca, Corina, Zhang, Zhifeng, Zhang, Shuaifang, Sun, Shimei, Liu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512191/
https://www.ncbi.nlm.nih.gov/pubmed/33265104
http://dx.doi.org/10.3390/e20010014
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author Zhang, Zhichao
Drapaca, Corina
Zhang, Zhifeng
Zhang, Shuaifang
Sun, Shimei
Liu, Hui
author_facet Zhang, Zhichao
Drapaca, Corina
Zhang, Zhifeng
Zhang, Shuaifang
Sun, Shimei
Liu, Hui
author_sort Zhang, Zhichao
collection PubMed
description Leakage through microscale or nanoscale cracks is usually hard to observe, difficult to control, and causes significant economic loss. In the present research, the leakage in a pipe was evaluated by the virtual entropy generation (VEG) method. In virtual entropy generation method, the “measured entropy generation” is forced to follow the “experimental second law of thermodynamics”. Taking the leakage as the source virtual entropy generation, a new pipe leakage evaluation criterion was analytically derived, which indicates that the mass leakage rate should be smaller than the pressure drop rate inside a pipe. A numerical study based on computational fluid dynamics showed the existence of an unrealistic virtual entropy generation at a high mass leakage rate. Finally, the new criterion was used in the evaluation of leakage available in the literature. These results could be useful for leakage control or industry criteria design in the future.
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spelling pubmed-75121912020-11-09 Leakage Evaluation by Virtual Entropy Generation (VEG) Method Zhang, Zhichao Drapaca, Corina Zhang, Zhifeng Zhang, Shuaifang Sun, Shimei Liu, Hui Entropy (Basel) Article Leakage through microscale or nanoscale cracks is usually hard to observe, difficult to control, and causes significant economic loss. In the present research, the leakage in a pipe was evaluated by the virtual entropy generation (VEG) method. In virtual entropy generation method, the “measured entropy generation” is forced to follow the “experimental second law of thermodynamics”. Taking the leakage as the source virtual entropy generation, a new pipe leakage evaluation criterion was analytically derived, which indicates that the mass leakage rate should be smaller than the pressure drop rate inside a pipe. A numerical study based on computational fluid dynamics showed the existence of an unrealistic virtual entropy generation at a high mass leakage rate. Finally, the new criterion was used in the evaluation of leakage available in the literature. These results could be useful for leakage control or industry criteria design in the future. MDPI 2017-12-29 /pmc/articles/PMC7512191/ /pubmed/33265104 http://dx.doi.org/10.3390/e20010014 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Zhichao
Drapaca, Corina
Zhang, Zhifeng
Zhang, Shuaifang
Sun, Shimei
Liu, Hui
Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title_full Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title_fullStr Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title_full_unstemmed Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title_short Leakage Evaluation by Virtual Entropy Generation (VEG) Method
title_sort leakage evaluation by virtual entropy generation (veg) method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512191/
https://www.ncbi.nlm.nih.gov/pubmed/33265104
http://dx.doi.org/10.3390/e20010014
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