Identification of corner separation modelling in axial compressor stage
The paper presents a study of corner separations in hub to blade region at various operation conditions towards compressor stall. It is known that for compressor flows with low or none separations computation fluid dynamics with RANS methods work quite well, however, for highly separated flows they...
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EDP Sciences
2020-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/38/e3sconf_hsted2020_01035.pdf |
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doaj-ade83367c463416b809e4f721f9f5b0c2021-04-02T09:55:27ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011780103510.1051/e3sconf/202017801035e3sconf_hsted2020_01035Identification of corner separation modelling in axial compressor stageSerkov Sergey A.0Sedunin Viacheslav A.1Blinov Vitalii L.2Komarov Oleg V.3Brodov Yurii M.4Ural Federal University, Turbines and Engines DepartmentUral Federal University, Turbines and Engines DepartmentUral Federal University, Turbines and Engines DepartmentUral Federal University, Turbines and Engines DepartmentUral Federal University, Turbines and Engines DepartmentThe paper presents a study of corner separations in hub to blade region at various operation conditions towards compressor stall. It is known that for compressor flows with low or none separations computation fluid dynamics with RANS methods work quite well, however, for highly separated flows they are no longer entirely valid. Therefore, several criteria were applied for prediction and quantification of possible corner separation, and the main interest of this work is in predicting the separation just before it will actually happen by certain flow metrics, so these metrics can be further used as a ‘pre-stall’ criteria whilst the RANS CFD operating point still behave within its appropriate limits. Also the effect of shear lean is discussed in the presented context.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/38/e3sconf_hsted2020_01035.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Serkov Sergey A. Sedunin Viacheslav A. Blinov Vitalii L. Komarov Oleg V. Brodov Yurii M. |
spellingShingle |
Serkov Sergey A. Sedunin Viacheslav A. Blinov Vitalii L. Komarov Oleg V. Brodov Yurii M. Identification of corner separation modelling in axial compressor stage E3S Web of Conferences |
author_facet |
Serkov Sergey A. Sedunin Viacheslav A. Blinov Vitalii L. Komarov Oleg V. Brodov Yurii M. |
author_sort |
Serkov Sergey A. |
title |
Identification of corner separation modelling in axial compressor stage |
title_short |
Identification of corner separation modelling in axial compressor stage |
title_full |
Identification of corner separation modelling in axial compressor stage |
title_fullStr |
Identification of corner separation modelling in axial compressor stage |
title_full_unstemmed |
Identification of corner separation modelling in axial compressor stage |
title_sort |
identification of corner separation modelling in axial compressor stage |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
The paper presents a study of corner separations in hub to blade region at various operation conditions towards compressor stall. It is known that for compressor flows with low or none separations computation fluid dynamics with RANS methods work quite well, however, for highly separated flows they are no longer entirely valid. Therefore, several criteria were applied for prediction and quantification of possible corner separation, and the main interest of this work is in predicting the separation just before it will actually happen by certain flow metrics, so these metrics can be further used as a ‘pre-stall’ criteria whilst the RANS CFD operating point still behave within its appropriate limits. Also the effect of shear lean is discussed in the presented context. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/38/e3sconf_hsted2020_01035.pdf |
work_keys_str_mv |
AT serkovsergeya identificationofcornerseparationmodellinginaxialcompressorstage AT seduninviacheslava identificationofcornerseparationmodellinginaxialcompressorstage AT blinovvitaliil identificationofcornerseparationmodellinginaxialcompressorstage AT komarovolegv identificationofcornerseparationmodellinginaxialcompressorstage AT brodovyuriim identificationofcornerseparationmodellinginaxialcompressorstage |
_version_ |
1724168360100364288 |