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research-article

Further Investigation on Acoustic Stall-Warning Approach in Compressors

[+] Author and Article Information
Xu Dong

Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, China, 100191
buaadongxu@buaa.edu.cn

Fanyu Li

Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, China, 100191
00010601@163.com

Ruize Xu

Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, China, 100191
xreese@foxmail.com

Dakun Sun

Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, China, 100191
sundk@buaa.edu.cn

Xiaofeng Sun

Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, China, 100191
sunxf@buaa.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4041900 History: Received August 24, 2017; Revised October 21, 2018

Abstract

A further investigation of an acoustic-theory based stall-warning approach is presented in this paper which contains the basis of this approach and an application on a low speed compressor with a stabilization system. In the present work, this stall-warning approach is first explained through a numerical simulation in which the periodicity of pressure signals is analyzed, and then application experiments of this approach are actualized on a low speed compressor with a stall precursor-suppressed (SPS) casing treatment as a stabilization system. For this stall-warning approach, a parameter named is calculated through pressure signals of compressor to evaluate the periodicity of pressure signal, and statistical estimates are implemented on so that the probabilities for less than a threshold can be used as a criterion for stall-warning. The numerical and experimental results both show that the signal resolution is determined by the sensor position, the pre-stall signal amplitude decreases rapidly with the increase of the distance between sensor and blades. Results also show that the probability increases significantly when the operating point is nearing the stall boundary. And at the same operating point, the probability value of will decrease when the SPS casing treatment is engaged. Through this stall-warning approach, a stabilization system based on SPS casing treatment can be activated when the stall margin needs to be extended.

Copyright (c) 2018 by ASME
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