• DocumentCode
    2602057
  • Title

    Multibody System Dynamics Modelling and Characteristic Prediction for One Diesel´s Valve Train

  • Author

    Qin, Wenjie ; Shen, Jie

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    In this paper, as the multibody system dynamics analysis of one dieselpsilas pushrod-type valve train is concerned, the algorithm of calculation campsilas profiles from the lift of roller tappet is presented according to the kinematics analysis firstly. Then the flexible body models of the pushrod, rocker arm and valves that are considered to have significant flexibility are built. Comparing the analysis results with the experiment data, the flexible effects of these parts on dynamics characteristics of the valve train are determined. Based on these researches, the multi-flexible-body system dynamics model of this valve train is established, and the kinematics and dynamics characteristics under the enginepsilas rated speed are calculated. Moreover, the mechanismpsilas characteristics as the enginepsilas speed improved are predicted. The results shown that light lift-off occurs when the campsilas speed gets up to 1600 r/min, and valve bounce occurs when the campsilas speed gets up to 1900 r/min.
  • Keywords
    cams (mechanical); diesel engines; kinematics; valves; cam; diesel valve train; kinematics analysis; multibody system dynamics modelling; rocker arm; roller tappet; Algorithm design and analysis; CADCAM; Clocks; Computer aided manufacturing; Electronic mail; Information analysis; Kinematics; Predictive models; Valves; Vehicle dynamics; Analysis; Modelling; Multibody System Dynamic; Valve train;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.217
  • Filename
    5168800