A Stochastic model for a compressor stability measure

被引:50
作者
Dhingra, Manuj [1 ]
Neumeier, Yedidia
Prasad, J. V. R.
Breeze-Stringfellow, Andrew
Shin, Hyoun-Woo
Szucs, Peter N.
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
[2] GE Aviat, Cincinnati, OH 45215 USA
来源
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME | 2007年 / 129卷 / 03期
关键词
D O I
10.1115/1.2718231
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A stability measure rooted in the unsteady characteristics of the flow field over the compressor rotor has been previously developed. The present work explores the relationship between the stochastic properties of this measure, called the correlation measure, and the compressor stability boundary. A stochastic model has been developed to gauge the impact of the correlation measure's stochastic nature on its applicability to compressor stability management. The genesis of this model is in the fundamental properties of a specific stochastic process, one that is created by the threshold crossings of a random process. The model validation utilizes data obtained on three different axial compressor facilities. These include a single-stage low-speed axial compressor a four-stage low-speed research compressor and an advanced technology demonstrator high-speed compressor This paper presents details of the model development and validation, as well as closed loop experimental results to demonstrate correlation measure's usefulness in compressor stability management.
引用
收藏
页码:730 / 737
页数:8
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