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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Main Authors: Jin,Haozhe, Chen,Xiaoping, Ren,Jia, Wu,Xuehua, Zheng,Zhijian, Ou,Guofu, Ye,Yisha
Format: Digital revista
Language:English
Published: Brazilian Society of Chemical Engineering 2018
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322018000301051
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spelling 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
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Jin,Haozhe
Chen,Xiaoping
Ren,Jia
Wu,Xuehua
Zheng,Zhijian
Ou,Guofu
Ye,Yisha
spellingShingle 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.
publisher Brazilian Society of Chemical Engineering
publishDate 2018
url 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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