Optimization of rough transonic axial compressor

Zhihui Li*, Yanming Liu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 6
  • Captures
    • Readers: 25
see details

摘要

The influence of wall roughness on the performance of the axial transonic compressor stage was investigated with different values of roughness added to the blade, hub and shroud sections. The dimensionless sand-grain roughness model was used to capture the roughness effect and the results indicated that the increment of both end wall and blade surface roughness caused the deterioration of compressor stage performance. The sensitivity analysis method was used to distinguish which section mostly contributes to the whole performance degradation. Approximately a 95.31% degradation of the compressor peak efficiency came from the induced blade roughness, 3.58% from the hub surface roughness and only 1.08% from the casing surface. The present study also investigated how the optimized design of compressor blades was affected by considering a surface roughness effect representative of in-service use. Two optimization strategies were proposed to improve the compressor efficiency and total pressure ratio by changing the distributions of the blade angles along the chord. The first strategy considered the compressor surface to be hydraulically smooth and the consequent Pareto Front designs were degraded by increasing the level of surface roughness with the second approach considering the surface roughness from the outset of optimization. The optimization result showed that the degraded compressors from the first strategy was still among the best performing Pareto Front designs in terms of adiabatic efficiency and pressure ratio when compared to the second approach. This means that the roughness effect can be regarded as an additional factor and be considered in the end of the design process for single-stage compressors.

源语言英语
页(从-至)12-25
页数14
期刊Aerospace Science and Technology
78
DOI
出版状态已出版 - 7月 2018

指纹

探究 'Optimization of rough transonic axial compressor' 的科研主题。它们共同构成独一无二的指纹。

引用此

Li, Z., & Liu, Y. (2018). Optimization of rough transonic axial compressor. Aerospace Science and Technology, 78, 12-25. https://doi.org/10.1016/j.ast.2018.03.031