• DocumentCode
    2290727
  • Title

    Roll characteristic analysis of dump truck unloading based on virtual prototyping

  • Author

    Jiang, Rongchao ; Liu, Dawei ; Chen, Huanming ; Gao, Zhengguo

  • Author_Institution
    Automobile Eng. Dept., Qingdao Univ., Qingdao, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    697
  • Lastpage
    700
  • Abstract
    According to the rollover problem of dump truck with a T-type lifting mechanism during unloading, a detailed multi-body dynamic model of a dump truck was established by using SIMPACK software. Considering each main factor´s effect, the roll characteristic of the dump truck during unloading operation was studied by simulation. The results showed that, when the dump truck is unloading, in the case of constant load, with the cross slope angle increases, the critical lifting angle decreases; in the case of same cross slope angle, with the load increases, the critical lifting angle decreases, and with the increasing of the mass center of the material offsets, the critical lifting angle decreases similarly; in the case of the mass center of the material offsets in the same degree, with the cross slope angle increases, the critical lifting angle decreases. This study can provide a reference to reduce and avoid the dump truck rollover phenomenon during unloading operation.
  • Keywords
    automotive engineering; materials handling; mechanical engineering computing; road vehicles; solid modelling; vehicle dynamics; virtual prototyping; SIMPACK software; T-type lifting mechanism; critical lifting angle; cross slope angle; dump truck rollover phenomenon; dump truck unloading operation; multibody dynamic model; roll characteristic analysis; virtual prototyping; T-type lifting mechanism; dump truck; rollover problem; virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953312
  • Filename
    5953312