MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH
Abstract The deposition of crystallized ammonium salt particles presents serious damage to the hydrogenation reactor effluent air cooler (REAC) in petrochemical engineering. The correlation technology process was analyzed for predicting the particle deposition situation in air coolers. Moreover, the particle crystallization and deposition were revealed, and a mathematical model for flow field simulation was established by computational fluid dynamics (CFD). In addition, the fast search clustering algorithm (FSCA) realized in Matlab software was applied to detect tube anomaly. The relatively greater risk of deposition or blockage in the tube area was detected, and this finding is consistent with the distribution of the surface temperature field in air coolers. Meanwhile, good qualitative agreement was found between the distribution rule of particle deposition rate as simulated by CFD and the situation of opened header box on the spot. Therefore, the combined method of CFD simulation and FSCA detection can be utilized for predicting the condition of particle deposition in the air-cooling systems.
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Brazilian Society of Chemical Engineering
2018
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oai:scielo:S0104-663220180003010512019-01-15MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACHJin,HaozheChen,XiaopingRen,JiaWu,XuehuaZheng,ZhijianOu,GuofuYe,Yisha Air cooler CFD simulation Anomaly detection Predicting method Abstract The deposition of crystallized ammonium salt particles presents serious damage to the hydrogenation reactor effluent air cooler (REAC) in petrochemical engineering. The correlation technology process was analyzed for predicting the particle deposition situation in air coolers. Moreover, the particle crystallization and deposition were revealed, and a mathematical model for flow field simulation was established by computational fluid dynamics (CFD). In addition, the fast search clustering algorithm (FSCA) realized in Matlab software was applied to detect tube anomaly. The relatively greater risk of deposition or blockage in the tube area was detected, and this finding is consistent with the distribution of the surface temperature field in air coolers. Meanwhile, good qualitative agreement was found between the distribution rule of particle deposition rate as simulated by CFD and the situation of opened header box on the spot. Therefore, the combined method of CFD simulation and FSCA detection can be utilized for predicting the condition of particle deposition in the air-cooling systems.info:eu-repo/semantics/openAccessBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering v.35 n.3 20182018-09-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301051en10.1590/0104-6632.20180353s20160661 |
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Jin,Haozhe Chen,Xiaoping Ren,Jia Wu,Xuehua Zheng,Zhijian Ou,Guofu Ye,Yisha |
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Jin,Haozhe Chen,Xiaoping Ren,Jia Wu,Xuehua Zheng,Zhijian Ou,Guofu Ye,Yisha MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
author_facet |
Jin,Haozhe Chen,Xiaoping Ren,Jia Wu,Xuehua Zheng,Zhijian Ou,Guofu Ye,Yisha |
author_sort |
Jin,Haozhe |
title |
MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
title_short |
MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
title_full |
MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
title_fullStr |
MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
title_full_unstemmed |
MODELING OF MULTIPHASE FLOW IN AN AIR-COOLING SYSTEM USING THE CFD-FSCA APPROACH |
title_sort |
modeling of multiphase flow in an air-cooling system using the cfd-fsca approach |
description |
Abstract The deposition of crystallized ammonium salt particles presents serious damage to the hydrogenation reactor effluent air cooler (REAC) in petrochemical engineering. The correlation technology process was analyzed for predicting the particle deposition situation in air coolers. Moreover, the particle crystallization and deposition were revealed, and a mathematical model for flow field simulation was established by computational fluid dynamics (CFD). In addition, the fast search clustering algorithm (FSCA) realized in Matlab software was applied to detect tube anomaly. The relatively greater risk of deposition or blockage in the tube area was detected, and this finding is consistent with the distribution of the surface temperature field in air coolers. Meanwhile, good qualitative agreement was found between the distribution rule of particle deposition rate as simulated by CFD and the situation of opened header box on the spot. Therefore, the combined method of CFD simulation and FSCA detection can be utilized for predicting the condition of particle deposition in the air-cooling systems. |
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Brazilian Society of Chemical Engineering |
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2018 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301051 |
work_keys_str_mv |
AT jinhaozhe modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT chenxiaoping modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT renjia modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT wuxuehua modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT zhengzhijian modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT ouguofu modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach AT yeyisha modelingofmultiphaseflowinanaircoolingsystemusingthecfdfscaapproach |
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