基于SONAH的旋转风轮声源识别实验研究

张翠青, 高志鹰, 陈永艳, 代元军, 汪建文, 候熠

张翠青, 高志鹰, 陈永艳, 代元军, 汪建文, 候熠. 基于SONAH的旋转风轮声源识别实验研究[J]. 太阳能学报, 2021, 42(1): 302-307. DOI: 10.19912/j.0254-0096.tynxb.2018-0870
引用本文: 张翠青, 高志鹰, 陈永艳, 代元军, 汪建文, 候熠. 基于SONAH的旋转风轮声源识别实验研究[J]. 太阳能学报, 2021, 42(1): 302-307. DOI: 10.19912/j.0254-0096.tynxb.2018-0870
Zhang Cuiqing, Gao Zhiying, Chen Yongyan, Dai Yuanjun, Wang Jianwen, Hou Yi. EXPERIMENT ON SOUND SOURCE IDENTIFICATION OF ROTATING ROTOR BASED ON SONAH[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 302-307. DOI: 10.19912/j.0254-0096.tynxb.2018-0870
Citation: Zhang Cuiqing, Gao Zhiying, Chen Yongyan, Dai Yuanjun, Wang Jianwen, Hou Yi. EXPERIMENT ON SOUND SOURCE IDENTIFICATION OF ROTATING ROTOR BASED ON SONAH[J]. Acta Energiae Solaris Sinica, 2021, 42(1): 302-307. DOI: 10.19912/j.0254-0096.tynxb.2018-0870

基于SONAH的旋转风轮声源识别实验研究

基金项目: 

国家自然科学基金(51866012)

国家自然科学基金(51366010)

内蒙古重大自然科学基金(2018ZD08)

详细信息
    通讯作者:

    高志鹰(1976—)男,博士、教授,主要从事空气动力学及气动声学方面的研究。hawkwarm@imut.edu.cn

  • 中图分类号: TM315;TN912.34

EXPERIMENT ON SOUND SOURCE IDENTIFICATION OF ROTATING ROTOR BASED ON SONAH

  • 摘要: 在风洞开口实验段,针对不同风速及不同叶尖速比,应用Brükel&Kj?r公司60通道轮型声阵列及声信号采集系统对直径为1.4 m的S翼型风轮进行声场测试,并采用统计最优近场声全息(SONAH)技术进行旋转风轮低频噪声源识别及频域特征分析。实验结果表明:最大声强度是旋转叶片产生的基频噪声,其对应总声压级随风速增加呈函数f (x)=-0.0092x4+0.297x3-3.7403x2+23.186x+49.274增加,随叶尖速比增加呈函数f(x)=0.4467x4-10.273x3+87.728x2-328.75x+567.23增加;识别的噪声源最大能量中心集中于翼展位置约0.545 m,相对半径r/R=0.778处,且不随风速和尖速比的改变而改变。
    Abstract: In the open section of the wind tunnel,the sound field of S-wing rotating rotor with1.4-meter diameter was measured by BK60-channel type acoustic array and acoustic signals at different wind speed and different tip speed ratio was acquired. Low-frequency sound sources of rotating wind turbine were located using statistically optimal near-field acoustic holography(SONAH). The experimental results showed that the maximum sound intensity is the fundamental frequency noise generated by the rotating blades,and the corresponding sound pressure level increased as a function f(x)=-0.0092 x~4+ 0.297 x~3-3.7403 x~2+ 23.186 x + 49.274 with the wind speed,and increased as a function f(x)=0.4467 x~4-10.273 x~3+ 87.728 x~2-328.75 x + 567.23 with the tip speed ratio. The center of the identified noise sources is concentrated on the radial position of about 0.545 m,that is r/R = 0.778,and did not change with wind speed and tip speed ratio.
  • [1]

    TABASSUM A,PREMALATHA M,ABBASI T,et al.Wind energy:Increasing deployment,rising environmental concerns[J]. Renewable and sustainable energy reviews,2014,31:270-288.

    [2]

    VLAD C,BRATCU A I,MUNTEANU I,et al. Real-time replication of a stand-alone wind energy conversion system:Error analysis[J]. International journal of Electrical power&energy systems,2014,55:562-571.

    [3]

    OERLEMANS S,SIJTSMA P,LÓPEZ M,et al. Location and quantification of noise sources on a wind turbine[J].Journal of sound and vibration,2007,299(4-5):869-883.

    [4]

    LEE G-S,CHEONG C,SHIN S-H,et al. A case study of localization and identification of noise sources from a pitch and a stall regulated wind turbine[J]. Applied acoustics,2012,73(8):817-827.

    [5]

    RAMACHANDRAN R C,PATEL H R,ROMAN G,et al.Noise source localization on a small wind turbine using a compact microphone array with advanced beamforming algorithms:Part I—a study of aerodynamic noise from blade[J]. Wind engineering,2014,38(1):73-88.

    [6] 伍岳,杨兵,贾少红,等.基于波束形成方法的风力机叶片气动声源定位研究[J].工程热物理学报,2013,34(12):2262-2265.

    WU Y,YANG B,JIA S H,et al. Locating of acoustic sources on wind turbine blades based on beam forming[J].Journal of engineering thermophysics,2013,34(12):2262-2265.

    [7] 于飞,陈剑,周广林,等.噪声源识别的近场声全息方法和数值仿真分析[J].振动工程学报,2003,16(3):339-343.

    YU F,CHEN J,ZHOU G L,et al. Near-field acoustic holography method and numerical simulation analysis for noise source identification[J]. Journal of vibration engineering,2003,16(3):339-343.

    [8] 罗禹贡,杨殿阁,郑四发,等.基于近场声全息理论的运动声源动态识别方法[J].声学学报,2004,29(3):226-230.

    LUO Y G,YANG D G,ZHENG S F,et al. Dynamic recognition method of moving sound source based on nearfield acoustic holography[J]. Acta acustica,2004,29(3):226-230.

    [9]

    HALD J. Patch near-field holography using a new statistically optimal method[C]//Proceedings of Internoise,Jeju,Korea,2003:2203-2210.

    [10] 李卫兵,陈剑,于飞,等.统计最优平面近场声全息原理与声场分离技术[J].物理学报,2005,54(3):1253-1260.

    LI W B,CHEN J,YU F,et al. Statistical optimal nearfield acoustic holography principle and sound field separation technique[J]. Acta physica sinica,2005,54(3):1253-1260.

    [11] 刘云涛.基于Combo Array测试及Beamforming的风轮声源识别[D].呼和浩特:内蒙古工业大学,2013.

    LIU Y T. The Wind turbine noise source identification based on combo array test and beamforming[D]. Hohhot:Inner Mongolia University of Technology,2013.

    [12] 李运志,高志鹰,汪建文,等.基于SONAH的水平轴风力机风轮噪声源识别[J].工程热物理学报,2014,35(7):1334-1337.

    LI Y Z,GAO Z Y,WANG J W,et al. Noise source identification about horizontal axis wind turbine rotor based on SONAH[J]. Journal of engineering thermophysics,2014,35(7):1334-1337.

    [13] 管飞,高志鹰,汪建文,等.风轮声源及其动态应变相关性实验研究[J].太阳能学报,2016,37(8):2111-2117.

    GUAN F,GAO Z Y,WANG J W,et al. Experimental study of correlation between acoustic source and dynamic strain of wind turbine[J]. Acta energiae solaris sinica,2016,37(8):2111-2117.

    [14]

    OERLEMANS S,SIJTSMA P,LOPEZ B M. Location and quantification of noise sources on a wind turbine[J]. Noise&Vibration Bulletin,2007,299(4):869-883.

计量
  • 文章访问数:  0
  • HTML全文浏览量:  0
  • PDF下载量:  0
  • 被引次数: 0
出版历程
  • 收稿日期:  2018-08-26
  • 刊出日期:  2021-01-27

目录

    /

    返回文章
    返回