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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/4m2u2j |
id |
ndltd-TW-094TIT05063034 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT chihyuanwang thestudyofapplycomputationalfluiddynamictosimulategasemergencyblowdownphenomena AT wángzhìyuǎn thestudyofapplycomputationalfluiddynamictosimulategasemergencyblowdownphenomena AT chihyuanwang lìyòngcfdmónǐqìtǐjǐnjípáifàngxiànxiàngtàntǎo AT wángzhìyuǎn lìyòngcfdmónǐqìtǐjǐnjípáifàngxiànxiàngtàntǎo AT chihyuanwang studyofapplycomputationalfluiddynamictosimulategasemergencyblowdownphenomena AT wángzhìyuǎn studyofapplycomputationalfluiddynamictosimulategasemergencyblowdownphenomena |
_version_ |
1719209736476295168 |