Experiment and prediction model of windage losses in rear drum cavity in secondary air system of aero-engine

The increasing overall pressure ratio of aero-engines has led to considerable windage losses in the Rear Drum Cavity (RDC) of the secondary air system. These losses convert turbine power into thermal energy, resulting in both energy consumption and a reduction in the rotor’s operational lifetime. To expand the experimental database to engine-representative non-dimensional conditions, a comprehensive experimental study was conducted, with the mass flow coefficient C w ranging from 3.54×10 4 to 7.59×10 4 and the rotational Reynolds number Re ϕ ranging from 3.31×10 6 to 1.02×10 7 . The effects of C w and Re ϕ on windage characteristics and swirl ratio distribution are analyzed. Furthermore, a theoretical model incorporating core swirl ratio modification and an empirical model are derived to predict windage losses. The experimental results indicate that windage losses are intensified by increasing C w and Re ϕ , leading to a maximum power consumption of 8 kW and a temperature rise of 54.6 K. Significant windage losses are predominantly driven by a weakened swirl ratio, which arises from the disturbance induced by the stator-mounted bolts. Particularly in the rear region of the RDC, the swirl ratio declines monotonically along the radial direction, showing minimal variation across all operating conditions, while the core swirl ratio remains consistently low, at approximately 0.2. Compared to the experimental data, the theoretical model exhibits an average error of 11% and the empirical model achieves a lower average error of 3%. These findings hold significant implications for enhancing the performance analysis of aero-engines.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Aeronautics
Published
2025-11-01
DOI
https://doi.org/10.1016/j.cja.2025.103945
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experiment and prediction model of windage losses in rear drum cavity in secondary air system of aero-engine

Shuiting Ding, C. Q. Liu, Liqun Xu, T.F. Guo et al.
Chinese Journal of Aeronautics
Turbomachinery Performance and Optimization
article

Experiment and prediction model of windage losses in rear drum cavity in secondary air system of aero-engine

Shuiting Ding, C. Q. Liu, Liqun Xu, T.F. Guo, Peng Liu, Tian Qiu, Haotian TUO
article en

Abstract

The increasing overall pressure ratio of aero-engines has led to considerable windage losses in the Rear Drum Cavity (RDC) of the secondary air system. These losses convert turbine power into thermal energy, resulting in both energy consumption and a reduction in the rotor’s operational lifetime. To expand the experimental database to engine-representative non-dimensional conditions, a comprehensive experimental study was conducted, with the mass flow coefficient C w ranging from 3.54×10 4 to 7.59×10 4 and the rotational Reynolds number Re ϕ ranging from 3.31×10 6 to 1.02×10 7 . The effects of C w and Re ϕ on windage characteristics and swirl ratio distribution are analyzed. Furthermore, a theoretical model incorporating core swirl ratio modification and an empirical model are derived to predict windage losses. The experimental results indicate that windage losses are intensified by increasing C w and Re ϕ , leading to a maximum power consumption of 8 kW and a temperature rise of 54.6 K. Significant windage losses are predominantly driven by a weakened swirl ratio, which arises from the disturbance induced by the stator-mounted bolts. Particularly in the rear region of the RDC, the swirl ratio declines monotonically along the radial direction, showing minimal variation across all operating conditions, while the core swirl ratio remains consistently low, at approximately 0.2. Compared to the experimental data, the theoretical model exhibits an average error of 11% and the empirical model achieves a lower average error of 3%. These findings hold significant implications for enhancing the performance analysis of aero-engines.

Chinese Journal of Aeronautics
Civil Aviation University of China (CN), Beihang University (CN)
Openalex Percentile: Top 54%
Turbomachinery Performance and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.