• DocumentCode
    3660029
  • Title

    Noise test and control for household refrigerator compressor

  • Author

    Jin-long Guo;Jian Luo;Yu Guo;Xiao-yong Pan;Xin Fang;Xing Wu

  • Author_Institution
    Kunming University of Science and Technology, Yunnan 650500, China
  • fYear
    2015
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    Sound comfort becomes more and more important in residential houses. Home appliance is one of the main sources of indoor noise. Noise emission is a distinctive feature for the selection of the home appliances. Noise levels in household appliances are increasingly attracting attention from manufacturers and customers. Refrigerators as common appliances used by most families run continuously all day. It produces a lot of noises. National standards have published severe rules on the acceptable noise levels, and noise-free operation becomes the preferred choice of customers in the refrigerators choosing. Therefore, it is necessary to reduce the noise level of refrigerator. In this paper, the noise control study has been carried on a type of air-cooled household refrigerator. The noise level of the refrigerator was tested under different operation conditions at first. Then the maximum sound pressure level and noise characters were obtained by analyse the spectra of the noises. Test data shown that the refrigerator noises are mainly composed of compressor and fan noises. According to the characteristics of the compressor and fan noise, a method of using sound insulation board was proposed to reduce the compressor noise. Considering the actual installation restrictions and the compressor cooling demand, a kind of sound insulation board with holes was applied. Experimental studies indicated that the proposed noise control method can suppress the noise of the household refrigerator effectively.
  • Keywords
    "Noise","Refrigerators","Insulation","Cooling","Noise measurement","Noise reduction","Cavity resonators"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279268
  • Filename
    7279268