Computational Analysis of Swirling Pipe Flow

Swirling pipe flow was investigated using advanced scale-adaptive turbulence model (?? - ?? SST SAS). The analysis of turbulent swirling fluid motion in pipe focuses mainly on the model prediction capabilities. Forvalidation purposes were used experimental data from (Pashtrapanska et al., 2006). Glo...

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Main Authors: M. Dohnal, J. Hájek
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2016-08-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/3773
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author M. Dohnal
J. Hájek
author_facet M. Dohnal
J. Hájek
author_sort M. Dohnal
collection DOAJ
description Swirling pipe flow was investigated using advanced scale-adaptive turbulence model (?? - ?? SST SAS). The analysis of turbulent swirling fluid motion in pipe focuses mainly on the model prediction capabilities. Forvalidation purposes were used experimental data from (Pashtrapanska et al., 2006). Global instability was produces by a contraction ring placed downstream of swirl generator. Predicted data were sampled at several distances from the swirl generator to compare them with experiment. Repeated simulations were performed on several computational grids involving unstructured and structured meshes. Grid tests revealed strong influence of computational grid on fluid flow behaviour predicted by the model. Most distinguishing feature of the predictions is asymmetry of mean velocity profiles, which is contrary to results obtained from experiment.
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spelling doaj.art-dd99730051a0425580f880623f6c24942022-12-21T19:44:12ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015210.3303/CET1652127Computational Analysis of Swirling Pipe FlowM. DohnalJ. HájekSwirling pipe flow was investigated using advanced scale-adaptive turbulence model (?? - ?? SST SAS). The analysis of turbulent swirling fluid motion in pipe focuses mainly on the model prediction capabilities. Forvalidation purposes were used experimental data from (Pashtrapanska et al., 2006). Global instability was produces by a contraction ring placed downstream of swirl generator. Predicted data were sampled at several distances from the swirl generator to compare them with experiment. Repeated simulations were performed on several computational grids involving unstructured and structured meshes. Grid tests revealed strong influence of computational grid on fluid flow behaviour predicted by the model. Most distinguishing feature of the predictions is asymmetry of mean velocity profiles, which is contrary to results obtained from experiment.https://www.cetjournal.it/index.php/cet/article/view/3773
spellingShingle M. Dohnal
J. Hájek
Computational Analysis of Swirling Pipe Flow
Chemical Engineering Transactions
title Computational Analysis of Swirling Pipe Flow
title_full Computational Analysis of Swirling Pipe Flow
title_fullStr Computational Analysis of Swirling Pipe Flow
title_full_unstemmed Computational Analysis of Swirling Pipe Flow
title_short Computational Analysis of Swirling Pipe Flow
title_sort computational analysis of swirling pipe flow
url https://www.cetjournal.it/index.php/cet/article/view/3773
work_keys_str_mv AT mdohnal computationalanalysisofswirlingpipeflow
AT jhajek computationalanalysisofswirlingpipeflow