IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v6y2021i3id62416.html

Estimation of a Planetary Gear Mesh Stiffness: An Approach Based on Minimising Error Function

Author

Listed:
  • K. A. Olanipekun

    (Ekiti State University, Nigeria)

Abstract

The mesh stiffness of gear teeth is one of the major sources of excitation in gear systems. Many analytical and finite element methods have been proposed in order to determine the mesh stiffness of gears especially parallel axis spur gears. Most of these methods are not trivial because they involve complicated analyses which incorporate parameters like gear tooth error, gear spalling sizes and shapes, nonlinear contact stiffness and sliding friction before mesh stiffness can be determined. In this work, a method is proposed to determine the sun-planet and ring-planet mesh stiffnesses of a planetary gear system. This approach involves fitting a relationship between the measured natural frequencies from an experimental modal test and natural frequencies predicted using an analytical model of a planetary gear. This method is relatively easier compared to the existing methods which involve complicated analyses. For this study, the average mesh stiffness estimated is 12.5 MN/m.

Suggested Citation

  • K. A. Olanipekun, 2021. "Estimation of a Planetary Gear Mesh Stiffness: An Approach Based on Minimising Error Function," European Journal of Engineering and Technology Research, European Open Science, vol. 6(3), pages 164-169, March.
  • Handle: RePEc:epw:ejeng0:v:6:y:2021:i:3:id:62416
    DOI: 10.24018/ejeng.2021.6.3.2416
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/62416
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/62416/12636
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2021.6.3.2416?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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:epw:ejeng0:v:6:y:2021:i:3:id:62416. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    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.