Uncertainty quantification of blade geometric deviation on compressor stability

Tianyuan Ji, Wuli Chu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Purpose: The geometric parameters of the compressor blade have a noteworthy influence on compressor stability, which should be meticulously designed. However, machining inaccuracies cause the blade geometric parameters to deviate from the ideal design, and the geometric deviation exhibits high randomness. Therefore, the purpose of this study is to quantify the uncertainty and analyze the sensitivity of the impact of blade geometric deviation on compressor stability. Design/methodology/approach: In this work, the influence of blade geometric deviation is analyzed based on a subsonic compressor rotor stage, and three-dimensional numerical simulations are used to compute samples with different geometric features. A method of combining Halton sequence and non-intrusive polynomial chaos is adopted to carry out uncertainty quantitative analysis. Sobol’ index and Spearman correlation coefficient are used to analysis the sensitivity and correlation between compressor stability and blade geometric deviation, respectively. Findings: The results show that the compressor stability is most sensitive to the tip clearance deviation, whereas deviations in the leading edge radius, trailing edge radius and chord length have minimal impact on the compressor stability. And, the effects of various blade geometric deviations on the compressor stability are basically independent and linearly superimposed. Originality/value: This work provided a new approach for uncertainty quantification in compressor stability analysis. The conclusions obtained in this work provide some reference value for the manufacturing and maintenance of rotor blades.

Original languageEnglish
Pages (from-to)257-264
Number of pages8
JournalAircraft Engineering and Aerospace Technology
Volume96
Issue number2
DOIs
StatePublished - 7 Mar 2024

Keywords

  • Compressor rotor
  • Machining deviation
  • Sensitivity analysis
  • Stability margin
  • Uncertainty quantification

Fingerprint

Dive into the research topics of 'Uncertainty quantification of blade geometric deviation on compressor stability'. Together they form a unique fingerprint.

Cite this