A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number
A low Reynolds number (Re) environment leads to severe deterioration in compressor performance, and it is necessary and challenging to accurately predict performance at a low Re during the design phase of a compressor. This study first reveals the mechanism of typical flow characteristics in transon...
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MDPI AG
2025-04-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/12/4/349 |
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| author | Dalin Shi Tianyu Pan Xingyu Zhu Zhiping Li |
| author_facet | Dalin Shi Tianyu Pan Xingyu Zhu Zhiping Li |
| author_sort | Dalin Shi |
| collection | DOAJ |
| description | A low Reynolds number (Re) environment leads to severe deterioration in compressor performance, and it is necessary and challenging to accurately predict performance at a low Re during the design phase of a compressor. This study first reveals the mechanism of typical flow characteristics in transonic compressor at a low Re via simulations. When comparing the cases with different Re, the equivalent blade profile variation due to the growth of the boundary-layer thickness is found to be the main reason for changing the flow field. On the basis of boundary-layer theory, a prediction model of the equivalent profile is developed for the viscous effect on the boundary layer, and a multiline strategy is applied to calculate the blade-load radial redistribution. The equivalent blade prediction error at different Re is up to 7.8% compared to the CFD results. Ultimately, this strategy improves the radial spatial resolution compared to the original method and is able to predict the compressor performance at a low Re with pressure ratio and efficiency errors of 0.23% and 1.8%, respectively. |
| format | Article |
| id | doaj-art-e4ea7be752cf4fdb98f916200a11f186 |
| institution | DOAJ |
| issn | 2226-4310 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj-art-e4ea7be752cf4fdb98f916200a11f1862025-08-20T03:14:20ZengMDPI AGAerospace2226-43102025-04-0112434910.3390/aerospace12040349A Strategy for Predicting Transonic Compressor Performance at Low Reynolds NumberDalin Shi0Tianyu Pan1Xingyu Zhu2Zhiping Li3Research Institute of Aero-Engine, Beihang University, Beijing 100191, ChinaResearch Institute of Aero-Engine, Beihang University, Beijing 100191, ChinaResearch Institute of Aero-Engine, Beihang University, Beijing 100191, ChinaResearch Institute of Aero-Engine, Beihang University, Beijing 100191, ChinaA low Reynolds number (Re) environment leads to severe deterioration in compressor performance, and it is necessary and challenging to accurately predict performance at a low Re during the design phase of a compressor. This study first reveals the mechanism of typical flow characteristics in transonic compressor at a low Re via simulations. When comparing the cases with different Re, the equivalent blade profile variation due to the growth of the boundary-layer thickness is found to be the main reason for changing the flow field. On the basis of boundary-layer theory, a prediction model of the equivalent profile is developed for the viscous effect on the boundary layer, and a multiline strategy is applied to calculate the blade-load radial redistribution. The equivalent blade prediction error at different Re is up to 7.8% compared to the CFD results. Ultimately, this strategy improves the radial spatial resolution compared to the original method and is able to predict the compressor performance at a low Re with pressure ratio and efficiency errors of 0.23% and 1.8%, respectively.https://www.mdpi.com/2226-4310/12/4/349prediction strategyboundary layerlow Reynolds numbertransonic compressor |
| spellingShingle | Dalin Shi Tianyu Pan Xingyu Zhu Zhiping Li A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number Aerospace prediction strategy boundary layer low Reynolds number transonic compressor |
| title | A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number |
| title_full | A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number |
| title_fullStr | A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number |
| title_full_unstemmed | A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number |
| title_short | A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number |
| title_sort | strategy for predicting transonic compressor performance at low reynolds number |
| topic | prediction strategy boundary layer low Reynolds number transonic compressor |
| url | https://www.mdpi.com/2226-4310/12/4/349 |
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