Loss Analysis of Cavity Leakage Flow in a Compressor Cascade

被引:6
作者
Deng, Hefang [1 ]
Xia, Kailong [1 ]
Teng, Jinfang [1 ]
Lu, Shaopeng [1 ]
Zhu, Mingmin [1 ]
Qiang, Xiaoqing [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Dongchuan Rd, Shanghai 200240, Peoples R China
来源
JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME | 2022年 / 144卷 / 12期
关键词
compressor cascade; cavity leakage flow; seal clearance; entropy loss coefficient; volumetric entropy generation rate;
D O I
10.1115/1.4055334
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The cavity flow of shrouded stators is quite complex and not yet completely understood, especially for its loss characteristics. In this paper, a matrix of numerical simulations was designed and conducted to investigate the loss characteristics of the cavity flow in a compressor cascade, with a wide range of incidence, two flow coefficients, and three seal clearances. The effect of the skewed boundary layer was introduced to simulate the practical compressor environment as far as possible. The results show that the total pressure loss coefficient is unable to evaluate the cavity leakage loss correctly since it ignores the temperature rise. With the reduction of the flow coefficient, the entropy loss coefficient and thermal entropy generation rate tend to increase, while the change of the viscous entropy generation rate is dependent on the incidence since the high tangential velocity deteriorates the flow of the pressure side at large negative incidence but significantly improves the flow of the suction side as the incidence increases. In addition, there is a significant difference in loss sensitivity to the seal clearance at various incidences. One of the major reasons is the change of pressure difference between the downstream and upstream. And the other major reason is the distribution difference of the high-loss fluid caused by the variation in the passage vortex. These key findings are able to provide insights leading to reducing the compressor loss due to the cavity leakage flow.
引用
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页数:10
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