IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i10p1717-d946239.html
   My bibliography  Save this article

Design and Operating Parameters Optimization of the Hook-and-Tooth Chain Rail Type Residual Film Picking Device

Author

Listed:
  • Silin Cao

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
    Mechanical Equipment Research Institute, Xinjiang Academy of Land Reclamation Sciences, Shihezi 832000, China)

  • Jianhua Xie

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China
    Xinjiang Key Laboratory of Intelligent Agricultural Equipment, Urumqi 830052, China)

  • Hezheng Wang

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China)

  • Yuxin Yang

    (Institute of Agricultural Mechanization, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China)

  • Yanhong Zhang

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

  • Jinbao Zhou

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

  • Shihua Wu

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

We attempt to solve the current problems of high impurity content and the poor reliability of chain harrow type residual film recovery machines when picking up residual film. This study makes a device for picking up residual film with a hook-and-tooth chain rail. First, we conducted an analysis of the trajectory of the tip movement of the hooked teeth in the designed picking device, with the condition that the residual mulch does not miss the picking, and the force conditions of the residual mulch in the conveying process and the collection process are presented. Secondly, to determine the optimal working parameters of the picking device, a three-factor, three-level response surface optimization test was conducted with the machine forward speed, hook tooth entry depth, and chain harrow input speed as the test factors and the residual film picking rate and the impurity rate of residual film as the test indexes. In addition, a response surface regression model was developed to analyze the effects of the selected factors on the picking device. When the forward speed of the machine was 1.62 m/s, the hook tooth entry depth was 38.51 mm, and the input speed of the chain harrow was 241.42 rpm, the pickup rate and the impurity rate of the residual film were 88.27% and 9.96%, respectively. Finally, the simulation test was carried out under optimal working conditions, with the maximum force of the hook teeth being 60.7 N, the maximum deformation being 31.42 mm, and the maximum stress being 215.33 Mpa. This study can be used as a guide to further improve the design of the residual film recovery machine.

Suggested Citation

  • Silin Cao & Jianhua Xie & Hezheng Wang & Yuxin Yang & Yanhong Zhang & Jinbao Zhou & Shihua Wu, 2022. "Design and Operating Parameters Optimization of the Hook-and-Tooth Chain Rail Type Residual Film Picking Device," Agriculture, MDPI, vol. 12(10), pages 1-21, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1717-:d:946239
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/10/1717/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/10/1717/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hezheng Wang & Silin Cao & Yongrui Liu & Yuxin Yang & Xiangyu Meng & Peng Ji, 2022. "Design of Cotton Recovery Device and Operation Parameters Optimization," Agriculture, MDPI, vol. 12(9), pages 1-17, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mustafa Ucgul & Chung-Liang Chang, 2023. "Design and Application of Agricultural Equipment in Tillage Systems," Agriculture, MDPI, vol. 13(4), pages 1-3, March.
    2. Peng Wang & Xuegeng Chen & Haojun Wen, 2023. "Simulation Research on Cotton Stalk Cutting and Crushing Based on ANSYS/LS-DYNA and Field Experiments," Agriculture, MDPI, vol. 13(6), pages 1-24, June.
    3. Liang, Yonghui & Wen, Yue & Meng, Yu & Li, Haiqiang & Song, Libing & Zhang, Jinzhu & Ma, Zhanli & Han, Yue & Wang, Zhenhua, 2024. "Effects of biodegradable film types and drip irrigation amounts on maize growth and field carbon sequestration in arid northwest China," Agricultural Water Management, Elsevier, vol. 299(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mustafa Ucgul & Chung-Liang Chang, 2023. "Design and Application of Agricultural Equipment in Tillage Systems," Agriculture, MDPI, vol. 13(4), pages 1-3, March.

    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:10:p:1717-:d:946239. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.