• DocumentCode
    2357219
  • Title

    State space model based theory of assembly variation propagation modeling

  • Author

    Zuo, Fuchang ; Zhang, Zhijing ; Jin, Xin ; Liu, Qin

  • Author_Institution
    Sch. of Mech. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    4-7 Aug. 2010
  • Firstpage
    589
  • Lastpage
    594
  • Abstract
    Based on state space, a variation propagation model of multi-station assembly of precision mechanical system was developed. Machining errors generally have great effects on the performance of mechanical system, especially precision mechanical system. In a multi-station assembly process, machining errors at each station accumulate and propagate to other parts, which will eventually degrade assembly accuracy and performance of the system. The differential motion vector was adopted to represent machining errors by the state vector in the model. Considering form errors, an innovative concept of mating coordinate system was proposed. This mating coordinate system, defined by two mating surfaces, can reflect real mating conditions more accurately. Detailed derivation for variation propagation modeling was presented. Finally, state equation and observation equation that can be used to guide measurement were obtained. In conclusion, the model we established can guide fault diagnosis and process design evaluation of precision mechanical system.
  • Keywords
    assembling; condition monitoring; process design; vectors; differential motion vector; fault diagnosis; machining errors; mating coordinate system; multistation assembly; observation equation; precision mechanical system; process design evaluation; state equation; state space model; state vector; variation propagation model; Assembly; Equations; Machining; Mathematical model; Mechanical systems; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2010 International Conference on
  • Conference_Location
    Xi´an
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-5140-1
  • Electronic_ISBN
    2152-7431
  • Type

    conf

  • DOI
    10.1109/ICMA.2010.5588385
  • Filename
    5588385