• DocumentCode
    3408181
  • Title

    Estimating wear volume of polymer compound based on two dimension surface figure

  • Author

    Zheng, Wei ; Peng, Jinmin ; Zhou, Jingliang ; Zhu, Zhihong

  • Author_Institution
    Fujian Key Lab. of Automotive Electron. & Electr. Drive Technol., Fujian Univ. of Technol., Fuzhou, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1671
  • Lastpage
    1675
  • Abstract
    The polymer compounds have characteristics of light mass and lubricate-self when they are applied in contact surface. Therefore, they are widely used in different engineering area. One of these applications is to transmiss yarn to textile in the multi-bar warp knitted machine. It is necessary to measure the wear volume of polymer compound in order to get accurate transmission when the wear appears in precision driving, however it is difficult to measure little wear volume by common measurement. The wear volume of polymer compound can be estimated through the characterization of the worn surface morphology of polymer compounds using fractal theory. This measurement can get an approximate wear volume that is useful to evaluate wear volume with a short test time. In test, it is 1600 hours by estimating in the multi-bar warp knitted machine before polymer compound wore out. In practice, the polymer compound did not wear out until 1790 hours.
  • Keywords
    knitting machines; polymer blends; textiles; wear; wear testing; yarn; contact surface; fractal theory; lubrication; multibar warp knitted machine; polymer compound; textile; time 1600 hour; transmiss yarn; wear volume estimation; worn surface morphology; Friction; Inorganic materials; Length measurement; Pollution measurement; Polymers; Surface fitting; Surface morphology; Testing; Time measurement; Volume measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408183
  • Filename
    5408183