IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6316538.html
   My bibliography  Save this article

A Novel Engagement-Pixel Tracking Method for Meshing Clearance Layout of Twin-Screw Rotors

Author

Listed:
  • Jie Lu
  • Zhiqin Cai
  • Sijie Cai
  • Bin Yao
  • Binqiang Chen

Abstract

The performance of dry twin-screw compressors is primarily affected by the meshing clearance between a pair of meshing rotors. In this paper, a novel method for meshing clearance layout (MCL) is presented. The presented method is based on the engagement-pixel tracking (EPT) technique, which utilizes discrete-pixel curves generated by the two rotors. An algorithm for the proposed method is put forward. Firstly, when the profile of one rotor is known, the discrete point coordinates of the two rotor profiles and their thermal expansion profiles can be obtained. Secondly, the instantaneous contact models of the two rotors at special meshing positions are acquired under pixel coordinate system. Thirdly, through inspecting the pixels on the profile of a rotor and establishing the corresponding normal vector, the meshing clearance of the two rotors is extracted. Then, the meshing clearances can be generated by extracting the boundary pixels on the other rotor profile. Finally, the meshing clearance layout method is proposed. To verify the effectiveness of the presented method, a case study was conducted on a pair of meshing rotors to extract its meshing clearance. It was shown that the proposed method can be used as a tool for evaluating the clearance distribution of actual machined profiles.

Suggested Citation

  • Jie Lu & Zhiqin Cai & Sijie Cai & Bin Yao & Binqiang Chen, 2019. "A Novel Engagement-Pixel Tracking Method for Meshing Clearance Layout of Twin-Screw Rotors," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, September.
  • Handle: RePEc:hin:jnlmpe:6316538
    DOI: 10.1155/2019/6316538
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/6316538.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2019/6316538.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2019/6316538?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:6316538. 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.