TY - GEN
T1 - Effectiveness of Lean/Sweep and Boundary Layer Suction Combination on Compressor Cascade Performance
AU - Shen, Yihao
AU - Chu, Wuli
AU - Dong, Jiezhong
AU - Zhai, Yichen
AU - Mo, Yuqin
N1 - Publisher Copyright:
© 2024 15th Asia-Pacific International Symposium on Aerospace Technology, APISAT 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - The flow in the endwall regions of compressors is complex, with various vortex structures interacting and inducing corner separation phenomena. This interaction generates significant aerodynamic losses and adversely affects the operational efficiency of the compressor. In order to further enhance the performance of axial-flow compressors, this study employs computational fluid dynamics to investigate the combined effects of lean/sweep profilings and boundary layer suctions on the internal flow dynamics of a low-speed compressor cascade under different operating conditions. Using an RBF neural network as a surrogate model, with the total pressure loss in design and near stall conditions as the objective functions, optimization is performed through NSGA-II multi-objective genetic algorithm to obtain three optimal lean/sweep profilings. The lean/sweep profiling suppresses the development of flow separation by reducing the reverse pressure gradient at the mid-chord position on the suction surface. Spearman correlation analysis indicates that the positive vorticity in the cascade passage substantially increases the total pressure loss of the cascade. Moreover, under the near-stall condition, the correlation coefficients between secondary flow intensity and positive vorticity, as well as between secondary flow intensity and reverse flow volume, are higher than those under the design condition. This suggests that at high angles of attack, the secondary flow intensity is more conducive to the development of passage vortices and is also more prone to induce reverse flow phenomena. The optimized lean/sweep profilings are coupled with various endwall boundary layer suctions to further reduce the total pressure loss. Compared to the original cascade, the total pressure loss in both design and near-stall conditions is reduced by over 20% with the combined lean/sweep profiling and boundary layer suction scheme. The lean/sweep profiling significantly improves the flow field at midspan but slightly increases losses near the endwall. Conversely, the endwall suction slots reduce losses near the endwall by removing the boundary layer, albeit with minor effects on the flow field at midspan. The dissipation function has been utilized to quantitatively measure the loss intensity in four regions: the leading edge, trailing edge, blade surface, and passage. Under the design condition of the combined sweep/lean profiling and boundary layer suction scheme, the dissipation intensity at the leading edge and trailing edge is reduced by more than 25%, and the passage loss is reduced by 7.7%. However, under near-stall conditions, due to the influence of secondary flows, the dissipation loss on the blade surface increases by 8.8%, while the passage vortex intensity significantly decreases, resulting in a reduction of passage dissipation loss by 11.5%. Compared to a single flow control scheme, the combined scheme is more effective in reducing internal airflow blockage and enhancing the adaptability under multiple operating conditions.
AB - The flow in the endwall regions of compressors is complex, with various vortex structures interacting and inducing corner separation phenomena. This interaction generates significant aerodynamic losses and adversely affects the operational efficiency of the compressor. In order to further enhance the performance of axial-flow compressors, this study employs computational fluid dynamics to investigate the combined effects of lean/sweep profilings and boundary layer suctions on the internal flow dynamics of a low-speed compressor cascade under different operating conditions. Using an RBF neural network as a surrogate model, with the total pressure loss in design and near stall conditions as the objective functions, optimization is performed through NSGA-II multi-objective genetic algorithm to obtain three optimal lean/sweep profilings. The lean/sweep profiling suppresses the development of flow separation by reducing the reverse pressure gradient at the mid-chord position on the suction surface. Spearman correlation analysis indicates that the positive vorticity in the cascade passage substantially increases the total pressure loss of the cascade. Moreover, under the near-stall condition, the correlation coefficients between secondary flow intensity and positive vorticity, as well as between secondary flow intensity and reverse flow volume, are higher than those under the design condition. This suggests that at high angles of attack, the secondary flow intensity is more conducive to the development of passage vortices and is also more prone to induce reverse flow phenomena. The optimized lean/sweep profilings are coupled with various endwall boundary layer suctions to further reduce the total pressure loss. Compared to the original cascade, the total pressure loss in both design and near-stall conditions is reduced by over 20% with the combined lean/sweep profiling and boundary layer suction scheme. The lean/sweep profiling significantly improves the flow field at midspan but slightly increases losses near the endwall. Conversely, the endwall suction slots reduce losses near the endwall by removing the boundary layer, albeit with minor effects on the flow field at midspan. The dissipation function has been utilized to quantitatively measure the loss intensity in four regions: the leading edge, trailing edge, blade surface, and passage. Under the design condition of the combined sweep/lean profiling and boundary layer suction scheme, the dissipation intensity at the leading edge and trailing edge is reduced by more than 25%, and the passage loss is reduced by 7.7%. However, under near-stall conditions, due to the influence of secondary flows, the dissipation loss on the blade surface increases by 8.8%, while the passage vortex intensity significantly decreases, resulting in a reduction of passage dissipation loss by 11.5%. Compared to a single flow control scheme, the combined scheme is more effective in reducing internal airflow blockage and enhancing the adaptability under multiple operating conditions.
KW - boundary layer suction
KW - compressor cascade
KW - lean/sweep
KW - multi-objective optimization
UR - https://www.scopus.com/pages/publications/105014924036
M3 - 会议稿件
AN - SCOPUS:105014924036
T3 - 15th Asia-Pacific International Symposium on Aerospace Technology, APISAT 2024
SP - 291
EP - 304
BT - 15th Asia-Pacific International Symposium on Aerospace Technology, APISAT 2024
PB - Engineers Australia
T2 - 15th Asia-Pacific International Symposium on Aerospace Technology, APISAT 2024
Y2 - 28 October 2024 through 30 October 2024
ER -