• DocumentCode
    1792205
  • Title

    The attenuation model of sliding guides wear theory based on Archard wear model

  • Author

    Yahui Hu ; Chao Wang ; Rui Yang ; Yanqing Tan

  • Author_Institution
    Tianjin Key Lab. for Control, Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    1570
  • Lastpage
    1574
  • Abstract
    In this paper, through the analysis of side wear characteristics of the machine sliding guides, the wear behaviour of machine tool slide guides under dry friction was studied through pin-on-disc wear tests with orthogonal experiment. The typical loading and velocity under the working condition of sliding guides were taken as the experimental variables. According to the form of the Archard wear model and the experimental results which were treated with multiple regression analysis, the corresponding regression equation about the the wear volume and the wear constant value could be get. Considering the actual motion state of sliding guides when machining the workpieces, we got the machine slide guides attenuation model via deduction of the formulas.
  • Keywords
    friction; machine tools; machining; mechanical guides; regression analysis; wear testing; Archard wear model; dry friction; loading; machine slide guides attenuation model; machine sliding guides; machine tool slide guides; orthogonal experiment; pin-on-disc wear tests; regression analysis; regression equation; side wear characteristics; sliding guides motion state; sliding guides wear theory; velocity; wear behaviour; wear constant value; wear volume; workpieces machining; Accuracy; Attenuation; Equations; Machine tools; Materials; Mathematical model; Steel; Archard wear model; attenuation model; orthogonal experiment; regression analysis; slide guide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885934
  • Filename
    6885934