• DocumentCode
    3092355
  • Title

    Linear programming model for optimizing of noise and vibration in passenger car cabin

  • Author

    Junoh, Ahmad Kadri ; Nopiah, Zulkifli Mohd ; Muhamad, Wan Zuki Azman Wan ; Ghazali, Najah ; Shakir, Noor Adila Aluwi ; Nor, Mohd Jailani Mohd ; Fouladi, Mohammad Hosseini

  • Author_Institution
    Inst. of Eng. Math., Univ. Malaysia Perlis, Kuala Perlis, Malaysia
  • Volume
    4
  • fYear
    2011
  • fDate
    11-13 March 2011
  • Firstpage
    35
  • Lastpage
    40
  • Abstract
    Car cabin acoustical comfort is one of the factors which attract the buyer prospective buyer on purchasing a new vehicle. Basically the amount of discomfort depends to magnitude, frequency, direction and also the duration of exposed vibration in the cabin. The comfort of the driving influences driving performance. Generally the vibration is caused by two main sources: engine transmission and interaction between tyre and road surface. In this study the effects of vibration to noise in passenger car cabin were investigated. Vehicle acoustical comfort index (VACI) was used to evaluate the noise annoyance level and vibration dose value (VDV) was used to evaluate the vibration level. By using the changes trend of noise and vibration level depending to engine speeds, LP model was used to optimise the vibration level in the passenger car cabin.
  • Keywords
    acoustic noise; automobiles; linear programming; vehicle dynamics; velocity; vibrations; engine speed; engine transmission; linear programming model; noise annoyance level; optimization; passenger car cabin acoustical comfort; tyre-road surface interaction; vehicle acoustical comfort index; vibration dose value; Engines; Equations; Mathematical model; Noise; Roads; Vehicles; Vibrations; Sound Quality; Vehicle Acoustical Comfort Index (VACI); Vibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Research and Development (ICCRD), 2011 3rd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-839-6
  • Type

    conf

  • DOI
    10.1109/ICCRD.2011.5763848
  • Filename
    5763848