IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3417760.html
   My bibliography  Save this article

Wear Analysis of Support Spring of Sprag Clutch during State of Overrunning

Author

Listed:
  • Hongzhi Yan
  • Bo Wen
  • Zhibiao Wang
  • Chu Zhu
  • De Ni
  • Minghao Lin
  • Hui Wang

Abstract

This paper analyzes the wear of the support spring of sprag clutches for different structural parameters during overrunning state. Specifically, the stiffness model of the support spring is established based on the characteristics of the variable helix angle, and also the supporting force model is established according to the energy conservation law during the working process of the sprag clutch. Meanwhile, the relative rotation speed between the support spring and the wedge is analyzed by dynamic simulation method. Furthermore, the wear model of the support spring in process of overrunning is established based on Archard wear theory. The results show that there is a linear relationship between supporting force and spring radial displacement compression. In addition, increasing free length and wire diameter of springs will aggravate the wear of springs, whereas enlarging pitch diameter of springs will reduce it. When free length is increased from 270 to 290 mm, the wear time is reduced by 20.88%; when wire diameter is increased from 0.5 to 0.7 mm, the wear time is reduced by 42.75%; when pitch diameter is increased from 2 to 2.4 mm, the wear time is increased by 3.35%. The degree of influence of the structural parameters on the spring wear from large to small is free length, wire diameter, and pitch diameter. Exactly speaking, when wear time is 100 hr, the relative sensitivity of structural parameters affecting the wear of the support spring is in order of free length (2.2), wire diameter (0.97), and pitch diameter (0.08). The research provides a reference for the design and optimization of the support spring for highly reliable sprag clutches.

Suggested Citation

  • Hongzhi Yan & Bo Wen & Zhibiao Wang & Chu Zhu & De Ni & Minghao Lin & Hui Wang, 2022. "Wear Analysis of Support Spring of Sprag Clutch during State of Overrunning," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, March.
  • Handle: RePEc:hin:jnlmpe:3417760
    DOI: 10.1155/2022/3417760
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3417760.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/3417760.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/3417760?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3417760. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.