@article{GAO2024, 
author = {Limin GAO and Haohao WANG and Weina HUANG and Qiusheng LUO and Ruiyu LI and Guang YANG and Yue DAN and Chi MA and Baohai WU and Jiaqi LUO},
title = {Research progress on uncertainty effect of compressor blade machining deviation},
year = {2024},
journal = {Acta Aeronautica et Astronautica Sinica},
volume = {45},
number = {19},
pages = {630386},
keywords = {compressor, blade, machining deviation, uncertainty quantification, uncertainty effect, performance dispersion},
url = {https://www.sciopen.com/article/10.7527/S1000-6893.2024.30386},
doi = {10.7527/S1000-6893.2024.30386},
abstract = {The complex three-dimensional configuration and thin-walled structure of compressor blades lead to great difficulty in their manufacturing, and uncertainty of blade geometric deviation is very prominent in the machining process. As the aerodynamic loading of the compressor continues to rise and the geometric size continues to decrease, its working environment and internal flow characteristics become worse and more complex. The harsh working environment amplifies the influence of machining uncertainty. This leads to the high dispersion of the aerodynamic performance for the same batch of compressors and the frequent occurrence of severe performance degradation in service, resulting in substandard performance and even failure problems. In recent years, a lot of research work has been carried out on uncertainty quantification of compressor blade machining deviation at home and abroad. In this paper, the research progress in this field is reviewed in terms of geometric modeling, probabilistic model characterization, uncertainty quantification method, and uncertainty effect. Finally, the key problems and research prospects of uncertainty quantification on compressor blade machining deviation are summarized.}
}