| 湍流参数对风扇宽频噪声预测影响 |
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| 引用本文： | 杨野,王良锋,洪少尊,刘旭亮,杨党国.湍流参数对风扇宽频噪声预测影响[J].航空动力学报,2021,36(10):2149-2156. |
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| 作者姓名： | 杨野 王良锋 洪少尊 刘旭亮 杨党国 |
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| 作者单位： | 1.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 |
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| 基金项目： | 国家自然科学基金（11972360） |
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| 摘 要： | 对于现代先进涡扇发动机，占比越来越大的风扇/压气机宽频噪声成为亟需解决的问题。基于三维风扇声源模型，开展了湍流输入参数对宽频噪声预测影响的研究。结果表明:后传声功率级比前传声功率级普遍高5 dB左右；当湍流参数增大时，也会较大幅度改变前传和后传的声功率级，但对频谱形状影响较小；声功率级随湍流积分尺度增大而减小，随背景湍流速度、中心线湍流速度、湍流宽度增大而增大，其中背景湍流速度对宽频噪声影响最大。发现湍流参数通过作用于上洗速度谱来影响宽频噪声预测结果。
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| 关 键 词： | 宽频噪声预测 三维声源模型 快速预测方法 湍流参数 背景湍流速度 |
| 收稿时间： | 2020/8/27 0:00:00 |
Influence of turbulent parameters on fan broadband noise prediction |
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| YANG Ye,WANG Liangfeng,HONG Shaozun,LIU Xuliang,YANG Dangguo.Influence of turbulent parameters on fan broadband noise prediction[J].Journal of Aerospace Power,2021,36(10):2149-2156. |
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| Authors: | YANG Ye WANG Liangfeng HONG Shaozun LIU Xuliang YANG Dangguo |
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| Affiliation: | 1.State Key Laboratory of Aerodynamics，China Aerodynamics Research and Development Center，Mianyang Sichuan 621000，China2.High Speed Aerodynamics Institute，China Aerodynamics Research and Development Center，Mianyang Sichuan 621000，China |
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| Abstract: | For modern advanced turbofan engines，the increasing broadband noise of fan/compressor has become an urgent problem.Based on the 3D fan sound source model，the influence of turbulent input parameters on broadband noise prediction was studied.As a result，the back-transmission sound power level was generally about 5 dB higher than the front-transmission sound power level.When the turbulent parameters increased，the front-transmission and the back-transmission sound power level could also change greatly，but had little influence on the spectrum shape；the sound power level decreased with the increase of the turbulence integral scale，and increased with the background turbulence velocity，the centerline turbulence velocity and the turbulence width，of which the background turbulence velocity had the greatest influence on the broadband noise.It was found that the turbulent parameters affected the prediction results of broadband noise by acting on the upwash velocity spectrum. |
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| Keywords: | broadband noise prediction 3D sound source model fast prediction method turbulent parameters background turbulence velocity |
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