The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena

碩士 === 國立臺北科技大學 === 化學工程所 === 94 === Due to the headline of environmental protection’s consciousness in recent years, the establishment of the factory must have been with careful and advanced plan, yet identify themselves with local inhabitant. Emergency blow-down’s equipment and safety relieving va...

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Main Authors: Chih-Yuan Wang, 王志遠
Other Authors: Thomas C.-K. Yang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/4m2u2j
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spelling ndltd-TW-094TIT050630342019-06-27T05:09:07Z http://ndltd.ncl.edu.tw/handle/4m2u2j The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena 利用CFD模擬氣體緊急排放現象探討 Chih-Yuan Wang 王志遠 碩士 國立臺北科技大學 化學工程所 94 Due to the headline of environmental protection’s consciousness in recent years, the establishment of the factory must have been with careful and advanced plan, yet identify themselves with local inhabitant. Emergency blow-down’s equipment and safety relieving valve are designed to be the most important line of defense in order to protect factory''s safety of petrochemical industry. It is common occurrence due to improper relieving design of industrial calamity. It can''t be ignored that the potential harmer would be occurred for emergency blow-down. It had already concerning by domestic manufacturer gradually that several abroad blow-down calamities caused in recent years. Therefore, it is very important to the blow-down technology of control and safety in plants. In this study, computational fluid dynamics (CFD) accompanied by mass transport and fluid dynamic models were applied to simulate the emergency blow-down at various environmental parameters. These simulated results were analyzed by the Analysis of Variance (ANOVA) technique to evaluate the weighting and the correlations of the variables studied. Subsequently, the artificial neural network (ANN) method was employed to search for predicting dangerous situation from variables-response correlations using the learning rule and training algorithms Thomas C.-K. Yang 楊重光 2006 學位論文 ; thesis 332 zh-TW
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description 碩士 === 國立臺北科技大學 === 化學工程所 === 94 === Due to the headline of environmental protection’s consciousness in recent years, the establishment of the factory must have been with careful and advanced plan, yet identify themselves with local inhabitant. Emergency blow-down’s equipment and safety relieving valve are designed to be the most important line of defense in order to protect factory''s safety of petrochemical industry. It is common occurrence due to improper relieving design of industrial calamity. It can''t be ignored that the potential harmer would be occurred for emergency blow-down. It had already concerning by domestic manufacturer gradually that several abroad blow-down calamities caused in recent years. Therefore, it is very important to the blow-down technology of control and safety in plants. In this study, computational fluid dynamics (CFD) accompanied by mass transport and fluid dynamic models were applied to simulate the emergency blow-down at various environmental parameters. These simulated results were analyzed by the Analysis of Variance (ANOVA) technique to evaluate the weighting and the correlations of the variables studied. Subsequently, the artificial neural network (ANN) method was employed to search for predicting dangerous situation from variables-response correlations using the learning rule and training algorithms
author2 Thomas C.-K. Yang
author_facet Thomas C.-K. Yang
Chih-Yuan Wang
王志遠
author Chih-Yuan Wang
王志遠
spellingShingle Chih-Yuan Wang
王志遠
The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
author_sort Chih-Yuan Wang
title The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
title_short The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
title_full The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
title_fullStr The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
title_full_unstemmed The Study of Apply Computational Fluid Dynamic to Simulate Gas Emergency Blow-down Phenomena
title_sort study of apply computational fluid dynamic to simulate gas emergency blow-down phenomena
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/4m2u2j
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