Experiment on engine sound propagation path using a compact microphone array

被引:0
作者
Zhang C.Q. [1 ,2 ,4 ]
Dai Y.J. [3 ]
Chen Y.Y. [2 ,4 ]
Gao Z.Y. [2 ,4 ]
Yao J.K. [5 ]
机构
[1] Department of Electrical Engineering, Inner Mongolia Technical College of Mechanics and Electrics, Huhhot
[2] School of Energy and Power Engineering, Inner Mongolia University of Technology, Huhhot
[3] Department of Electrical Engineering, Xinjiang Institute of Engineering, Urumqi
[4] School of Energy and power Engineering, Inner Mongolia University of Technology, Huhhot
[5] Jinzhen Power Installation Co., Ltd., Alsha Electric Power Buresu, Alsha
关键词
Acoustic array; Automotive engineering; Harshness; Noise; Noise source identification; NVH; Propagation path; Sound energy; Vibration;
D O I
10.1504/IJVNV.2021.119964
中图分类号
学科分类号
摘要
The car noise is seriously affecting people’s work and physical and mental health. To mitigate this problem, cars can be fitted with noise reduction mechanisms. However, with such mechanisms, acquisition of a precisely localised sound source and sound propagation paths is key. We present an effective approach for such measurement and mapping, and illustrate the kinds of data produced and how they could possibly be useful for noise reduction. A Volkswagen engine was measured with respect to three roughly planar sound producing surfaces. An array of 60 microphones together with powerful algorithms produced visualisable cross sections of the area of sound distribution surrounding the engine. A physical coordinate system of the space around the engine was defined, allowing us to refer to engine parts by their coordinates, and identify them in mapping data. The results obtained give clues for the placement of sound absorbers or noise-cancelling technology. Copyright © 2021 Inderscience Enterprises Ltd.
引用
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页码:1 / 6
页数:5
相关论文
共 20 条
  • [1] Austen A., Priede T, Origins of Diesel Engine Noise, (1959)
  • [2] Batal M., Marroquin M., Noise source location techniques-simple to advanced applications, Journal of Sound and Vibration, 37, 3, pp. 24-38, (2003)
  • [3] Christensen J.J., Hald J., Beamforming, B & K Technical Review, 1, pp. 1-31, (2004)
  • [4] Gao H., Li H., Application of two methods of noise source identification on engine noise testing, Small Internal Combustion Engine and Motorcycle, 43, 1, pp. 73-78, (2014)
  • [5] Huang H.B., Huang X.R., Yang M.L., Lim T.C., Ding W.P., Identification of vehicle interior noise sources based on wavelet transform and partial coherence analysis, Mecha Nical Systems and Signal Processing, 109, pp. 247-267, (2018)
  • [6] Jiang X., Lian X., Sound Intensity Technology and Its Application in Automotive Engineering, (2001)
  • [7] Jiang Z., Wang X., Chen H., Zhi L., Engine whistle noise identification and control based on beamforming, Traffic Engineering Technology, 7, 44, pp. 62-65, (2017)
  • [8] Lu M.H., Jen M.U., Source identification and reduction of engine noise, Noise Control Engineering Journal, 58, 3, pp. 251-258, (2010)
  • [9] Moon C., Pickering D.J., Frazer T., Sievers C., Peffers D., Sound Power TroubleShooting Techniques, (2011)
  • [10] Qatu M., Recent research on vehicle noise and vibration, Int. J. Vehicle Noise and Vibration, 8, 4, pp. 289-301, (2012)