Mechanism of Axial Compressor Tip Clearance Noise Based on Taylor–Couette Flow Rotating Instability

Author:

Joe Beom-Jin1,Kim Min-Hyeok1,Hong Suk-Yoon1,Song Jee-Hun2

Affiliation:

1. Seoul National University Department of Naval Architecture and Ocean Engineering, , Gwanak-gu, Seoul 08826 , South Korea

2. Chonnam National University Department of Naval Architecture and Ocean Engineering, , Yeosu-si, Jeollanam-do 59626 , South Korea

Abstract

Abstract Prediction of the tip clearance noise (TCN) of axial compressors is essential to accurately determine the noise level of the compressor, because it is left unattenuated during propagation. The existing studies on numerical methods are inadequate for accurate determination of the TCN owing to the limited understanding of the physical phenomenon. The most convincing explanation is that the TCN is generated because of the instability in shear waves in the tip clearance region. In this study, the rotating instability theory was developed further by modeling the physical phenomenon of the instability as a Taylor–Couette (T–C) flow. The TCN sources were obtained using T–C flow modeling, and duct noise analysis was performed to obtain the TCN at various locations and frequencies. The TCN predictions were compared with the existing experimental results and noise results obtained using FW–H. Results showed that the T–C flow modeling is sufficiently accurate for predicting the frequencies, wavenumber distributions, and SPL of the tip clearance noise of axial compressors.

Funder

Ministry of Education

Publisher

ASME International

Subject

Mechanical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3