风扇湍流宽频噪声特性的数值计算分析

仝帆; 乔渭阳; 王良锋; 纪良; 王勋年

doi:10.13224/j.cnki.jasp.2015.02.025

风扇湍流宽频噪声特性的数值计算分析

doi: 10.13224/j.cnki.jasp.2015.02.025

1. 西北工业大学动力与能源学院, 西安 710072;
2. 中国空气动力研究与发展中心空气动力学国家重点实验室, 四川绵阳 621000

基金项目:

空气动力学国家重点实验室研究基金(SKLA20130201)

国家自然科学基金(51276149)

详细信息

作者简介:
仝帆(1990-),男,河北石家庄人,博士生,主要从事气动声学研究.

中图分类号: V231.3
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- 被引次数: 0
出版历程
- 收稿日期: 2013-09-26
- 刊出日期: 2015-02-28

Numerical calculation and analysis of fan turbulence broadband noise's characteristics

1. School of Power and Energy, Northwestern Polytechnical University, Xi'an 710072;
2. State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China

摘要

摘要: 基于Gliebe发展的风扇自噪声经验预测模型与Mugridge-Morfey发展的湍流-叶片干涉噪声分析预测模型,以GE公司R4风扇为研究对象,详细分析了风扇自噪声与转子尾迹湍流-出口导叶干涉宽频噪声(湍流干涉噪声)的特性.研究了不同的风扇设计参数和湍流参数对风扇自噪声与湍流干涉噪声的影响.计算结果表明:湍流干涉噪声对风扇宽频噪声起着主要作用,湍流干涉噪声比转子自噪声大约6~10dB,比出口导叶自噪声大约20dB.此外,出口导叶来流速度对湍流干涉噪声的影响最大,来流速度增大15%时,声功率可增大4dB左右.湍流强度对湍流干涉噪声影响较大,当湍流强度增加30%时,声功率增大约1.5dB.
- 宽频噪声 /
- 自噪声 /
- 湍流干涉噪声 /
- 经验预测模型 /
- 分析预测模型 /
- 声功率
Abstract: Based on the fan self-noise empirical prediction model developed by Gliebe and the turbulence -blade interaction noise analytical prediction model developed by Mugridge-Morfey and using GE R4 Fan for study, a detailed analysis of fan self-noise and rotor wake turbulence-OGV (outlet guide vane) interaction broadband noise (turbulence interaction noise) characteristics is performed. Different fan design parameters and different turbulence parameters' effects on the fan self-noise and turbulence interaction noise is investigated. Calculation results show that turbulence interaction noise dominates the fan broadband noise. Turbulence interaction noise is about 6-10dB higher than rotor self-noise and about 20dB higher than outlet guide vane self-noise. In addition, the incoming flow velocity of OGV plays the most important role in turbulence interaction noise and 15% increase of the velocity can lead to an increased sound power of about 4dB. The turbulence intensity has relatively important effects on the turbulence interaction noise and 30% increase of turbulence intensity can result in about 1.5dB higher sound power.
- broadband noise /
- self-noise /
- turbulence interaction noise /
- empirical prediction model /
- analytical prediction model /
- sound power

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