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 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.

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Publication Details

Journal
Aerospace
Published
2025-04-16
DOI
https://doi.org/10.3390/aerospace12040349
Citations
1
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
4.99

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article

A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number

Xingyu Zhu, Tianyu Pan, Zhiping Li, D. F. Shi
1 citations
Aerospace
Turbomachinery Performance and Optimization
4.99
article

A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number

Xingyu Zhu, Tianyu Pan, Zhiping Li, D. F. Shi
article en
1 citations

Abstract

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.

AerospaceVol. 12(4)
Beihang University (CN)
National Natural Science Foundation of China, Beijing Nova Program
Openalex Percentile: Top 7%
Turbomachinery Performance and Optimization
4.99
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A Strategy for Predicting Transonic Compressor Performance at Low Reynolds Number — Xingyu Zhu, Tianyu Pan, et al. · Aerospace (2025) | TGRS Research Map | TGRS