IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i12p2023-d985302.html
   My bibliography  Save this article

Influence of Sieve Surface Attitude on Sieving Performance of Granular Materials with Non-Uniform Feeding Conditions

Author

Listed:
  • Li Zhu

    (School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Shuren Chen

    (Key Laboratory of Modern Agricultural Equipment and Technology of Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

  • Zhan Zhao

    (Key Laboratory of Modern Agricultural Equipment and Technology of Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

  • Hantao Ding

    (Key Laboratory of Modern Agricultural Equipment and Technology of Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

  • Yongle Zhu

    (Key Laboratory of Modern Agricultural Equipment and Technology of Ministry of Education, Jiangsu University, Zhenjiang 212013, China)

Abstract

The screen surface particle distribution is an important factor affecting screening performance. A vibrating screen with an adjustable horizontal attitude angle was used, the non-uniform feeding and horizontal attitude angles were used as variables and the screening of rice particles was simulated by the discrete element method. The screen surface distribution and movement speed of the rice particles were analyzed based on the influence of the variables on screening performance. The results indicated that the material distribution became more unbalanced with the increase in non-uniform feeding, and the particles’ speed increased with the increase in attitude angle on the y -axis. The particles experienced accelerated dispersion, which improved the unbalanced distribution of the particles and screening performance. According to the loss rate, the horizontal attitude angle adjustment model was established and optimized under non-uniform feeding. The reliability of the model was verified by simulation. A bench test was carried out to verify the simulation. The optimization model can reduce the loss rate, improve the screening performance of non-uniform feeding, and provide a reference for the material screening of non-uniform feeding.

Suggested Citation

  • Li Zhu & Shuren Chen & Zhan Zhao & Hantao Ding & Yongle Zhu, 2022. "Influence of Sieve Surface Attitude on Sieving Performance of Granular Materials with Non-Uniform Feeding Conditions," Agriculture, MDPI, vol. 12(12), pages 1-14, November.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:12:p:2023-:d:985302
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/12/2023/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/12/2023/
    Download Restriction: no
    ---><---

    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:gam:jagris:v:12:y:2022:i:12:p:2023-:d:985302. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.