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Development and application of a profile loss model considering the low-Re effect in low-pressure turbine

  • Wei Jia EMAIL logo , Qingguo Kong , Guanyu Xiao and Handong Mu
Published/Copyright: September 23, 2022
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Abstract

To improve the prediction accuracy of profile loss at low Reynolds number, a typical low-pressure turbine cascade T106D-EIZ was selected to numerically investigate the effect of Reynolds number on turbine cascade flow. A detailed analysis of profile loss was performed and a profile loss model considering the low-Re effect was developed. Results showed that the incidence angle has a great effect on the inlet and outlet Mach number at low Reynolds number, and the variation of inlet and outlet Mach number further affects the blade profile loss. A correction factor was introduced to consider the effect of incidence angle and Mach number on the profile loss. The profile loss coefficient and stalling incidence angle were both extended to lower Reynolds number based on the numerical results. A Smart Through Flow Analysis Program (STFAP) was developed using the finite volume method to solve the circumferentially averaged Euler equations of S2 surface. Aerodynamic performance of E3 5-stage low-pressure turbine was predicted by STFAP coupled with low-Re profile loss model. Compared with K-O model, the prediction accuracy of efficiency of low-pressure turbine last stage is improved by nearly 1.1 percentage points when the 5-stage low-pressure turbine is in a low Reynolds number state.


Corresponding author: Wei Jia, College of Safety Science and Engineering, Civil Aviation University of China, No. 2898, Jinbei Road, Dongli District, Tianjin 300300, China, E-mail:

Funding source: Fundamental Research Funds for the Central Universities.

Award Identifier / Grant number: 3122019169

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work was funded by the Fundamental Research Funds for the Central Universities (Grant No. 3122019169).

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2022-01-11
Accepted: 2022-09-02
Published Online: 2022-09-23

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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