Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator

Accurate predictions of decaying swirling flow behavior in the multi-lobed swirl generator (MLSG) are essential for certain engineering applications. In this study, decaying swirling flow characteristics in an MLSG are examined using the Computational Fluid Dynamics (CFD) technique with a Reynolds s...

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Main Authors: Tie Yan, Jingyu Qu, Xiaofeng Sun, Ye Chen, Qiaobo Hu, Wei Li
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Online Access:http://dx.doi.org/10.1080/19942060.2020.1816494
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author Tie Yan
Jingyu Qu
Xiaofeng Sun
Ye Chen
Qiaobo Hu
Wei Li
author_facet Tie Yan
Jingyu Qu
Xiaofeng Sun
Ye Chen
Qiaobo Hu
Wei Li
author_sort Tie Yan
collection DOAJ
description Accurate predictions of decaying swirling flow behavior in the multi-lobed swirl generator (MLSG) are essential for certain engineering applications. In this study, decaying swirling flow characteristics in an MLSG are examined using the Computational Fluid Dynamics (CFD) technique with a Reynolds stress turbulence model (RSM). The effects of different lobe numbers (n) and pitch length ratios (P/D) on swirl intensity, pressure drop, friction factor coefficient, and decay rate are observed with Reynolds number from 50,000 to 125,000. Combined with the pressure loss, the efficiency of swirl induction is evaluated by introducing a swirl effectiveness (SE) evaluation criterion. The initial swirl intensity is shown to first increases and then decreases as lobe number increases. The maximum value is obtained at lobe number n = 4. The pitch length ratios P/D corresponding to the optimal SE value obtained from different lobe also differ. The optimal SE value is achieved at n = 4 and P/D = 8. The friction factor ratio fs/fp decreases as pitch length ratio increases, but the decreasing trend decelerates over time. Correlations based on the numerical predictions of friction factor ratio fs/fp and decay rate β are presented accordingly.
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spelling doaj.art-5c7084dd9c874c328512a34ebbdb70b82022-12-21T20:25:50ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2020-01-011411198121410.1080/19942060.2020.18164941816494Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generatorTie Yan0Jingyu Qu1Xiaofeng Sun2Ye Chen3Qiaobo Hu4Wei Li5College of Petroleum Engineering, Northeast Petroleum UniversityCollege of Petroleum Engineering, Northeast Petroleum UniversityCollege of Petroleum Engineering, Northeast Petroleum UniversityCollege of Petroleum Engineering, Northeast Petroleum UniversityCollege of Petroleum Engineering, Northeast Petroleum UniversityCollege of Petroleum Engineering, Northeast Petroleum UniversityAccurate predictions of decaying swirling flow behavior in the multi-lobed swirl generator (MLSG) are essential for certain engineering applications. In this study, decaying swirling flow characteristics in an MLSG are examined using the Computational Fluid Dynamics (CFD) technique with a Reynolds stress turbulence model (RSM). The effects of different lobe numbers (n) and pitch length ratios (P/D) on swirl intensity, pressure drop, friction factor coefficient, and decay rate are observed with Reynolds number from 50,000 to 125,000. Combined with the pressure loss, the efficiency of swirl induction is evaluated by introducing a swirl effectiveness (SE) evaluation criterion. The initial swirl intensity is shown to first increases and then decreases as lobe number increases. The maximum value is obtained at lobe number n = 4. The pitch length ratios P/D corresponding to the optimal SE value obtained from different lobe also differ. The optimal SE value is achieved at n = 4 and P/D = 8. The friction factor ratio fs/fp decreases as pitch length ratio increases, but the decreasing trend decelerates over time. Correlations based on the numerical predictions of friction factor ratio fs/fp and decay rate β are presented accordingly.http://dx.doi.org/10.1080/19942060.2020.1816494decaying swirling flowswirl intensitycfdfriction factormulti-lobed swirl generator
spellingShingle Tie Yan
Jingyu Qu
Xiaofeng Sun
Ye Chen
Qiaobo Hu
Wei Li
Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
Engineering Applications of Computational Fluid Mechanics
decaying swirling flow
swirl intensity
cfd
friction factor
multi-lobed swirl generator
title Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
title_full Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
title_fullStr Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
title_full_unstemmed Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
title_short Numerical evaluation on the decaying swirling flow in a multi-lobed swirl generator
title_sort numerical evaluation on the decaying swirling flow in a multi lobed swirl generator
topic decaying swirling flow
swirl intensity
cfd
friction factor
multi-lobed swirl generator
url http://dx.doi.org/10.1080/19942060.2020.1816494
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