Transactions of the Korean Society for Noise and Vibration Engineering (한국소음진동공학회논문집)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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Experimental Study for Construction Equipment's Cabin Noise Control

건설장비 캐빈 저소음화를 위한 시험적 연구

  • 이태경 (현대중공업 진동소음연구실) ;
  • 주원호 (현대중공업 진동소음연구실) ;
  • 배종국 (현대중공업 기술개발본부)
  • Published : 2009.08.20
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Abstract

In this paper, the experimental study on the identification of noise sources and noise transmission paths was carried out for the cabin noise control of construction equipment. In order to investigate noise and vibration characteristics of cabin structure, sound absorption, transmission, and radiation tests were performed using cabin assembly models. The noise/vibration source levels were obtained from the real cabins of wheel loader and excavator. Using transfer functions of cabins and real cabins' source data, cabin noise was decomposed into airborne and structureborne noise transmissions. Finally noise sources and major transmission paths were successfully identified for wheel loader and excavator's cabins.

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References

  1. Chai, J. B., 1998, "Design Sensitivity Studies for Statistical Energy Analysis Modeling of Construction Vehicle Cab," Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 8, No. 4, pp. 609-615
  2. Yosuke, T., et al., 2008, "Transfer Path Analysis to Hydraulic Excavator for Reducing Cabin Noise Caused by Hydraulic Pulsation," Proceedings of the Inter-Noise 2008
  3. ASTM C 423-02a, "Standard Test Method for Sound Absorption and Sound Absorption Coefficients by the Reverberation Room Method"
  4. ISO 140-4, "Field Measurements of Airborne Sound Insulation between Rooms"
  5. Besmet, W., Pluymers, B. and Sas, P., 2003, "Vibro-acoustic Analysis Procedures for the Evaluation of the Sound Insulation Characteristics of Agricultural Machinery Cabins," Journal of Sound and Vibration, Vol. 266, pp. 407-411 https://doi.org/10.1016/S0022-460X(03)00576-5

Cited by

  1. Interior noise analysis of a construction equipment cabin based on airborne and structure-borne noise predictions vol.26, pp.4, 2012, https://doi.org/10.1007/s12206-012-0231-z