• DocumentCode
    3136619
  • Title

    Prediction of mechanical noise by field-matching wave superposition method with boundaries

  • Author

    Chen, Hongyang ; Li, Qi ; Shang, Dejiang ; Liu, Yongwei

  • Author_Institution
    Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    2187
  • Lastpage
    2191
  • Abstract
    Based on wave superposition method (WSM), radiated noise can be predicted quickly by monitoring the vibration data on machine surface. However, this method may produce great error for complex vibration distribution. The main cause is the improper configuration of equivalent sources. In order to solve this problem, an equivalent source configuration based on the least mean square method (LMS) is put forward for typical structure in this paper, in which a few reference points of sound field pressure should be measured ahead to search the optimal equivalent source position automatically. Since the structure has been equivalent to an array of monopole sources by WSM, the prediction for mechanical noise with boundaries can be realized by changing Green function. The result shows that the radiated noise of structure, for different excitations, can be predicted precisely from the surface velocity by WSM once the optimal equivalent source position is determined by LMS using the reference points of sound pressure field.
  • Keywords
    Green´s function methods; acoustic noise; least mean squares methods; pressure measurement; vibrations; Green function; automatic optimal equivalent source position search; complex vibration distribution; equivalent source configuration; field-matching wave superposition method; least mean square method; machine surface; mechanical noise prediction; monopole sources; radiated noise prediction; sound field pressure measurement; surface velocity; vibration data monitoring; Acoustic waveguides; Educational institutions; Green function; Noise; Prediction algorithms; Vibrations; Field-Matching; Mechanical Noise; Prediction; WSM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285682
  • Filename
    6285682