IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i12p2298-d1544048.html
   My bibliography  Save this article

Contact Parameter Calibration for Discrete Element Potato Minituber Seed Simulation

Author

Listed:
  • Kai Chen

    (College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China
    Institute of Modern Agricultural Equipment, Shandong University of Technology, Zibo 255049, China
    Shandong Key Laboratory of Intelligent Agricultural Technologies and Smart Agricultural Machinery Equipment for Field Crops, Zibo 255049, China)

  • Xiang Yin

    (College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China
    Institute of Modern Agricultural Equipment, Shandong University of Technology, Zibo 255049, China
    Shandong Key Laboratory of Intelligent Agricultural Technologies and Smart Agricultural Machinery Equipment for Field Crops, Zibo 255049, China)

  • Wenpeng Ma

    (College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China
    Institute of Modern Agricultural Equipment, Shandong University of Technology, Zibo 255049, China
    Shandong Key Laboratory of Intelligent Agricultural Technologies and Smart Agricultural Machinery Equipment for Field Crops, Zibo 255049, China)

  • Chengqian Jin

    (College of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo 255049, China
    Institute of Modern Agricultural Equipment, Shandong University of Technology, Zibo 255049, China
    Shandong Key Laboratory of Intelligent Agricultural Technologies and Smart Agricultural Machinery Equipment for Field Crops, Zibo 255049, China
    Nanjing Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing 210014, China)

  • Yangyang Liao

    (College of Engineering, China Agricultural University, Beijing 100083, China)

Abstract

The discrete element method (DEM) has been widely applied as a vital auxiliary technique in the design and optimization processes of agricultural equipment, especially for simulating the behavior of granular materials. In this study, the focus is placed on accurately calibrating the simulation contact parameters necessary for the V7 potato minituber seed DEM simulation. Firstly, three mechanical tests are conducted, and through a combination of actual tests and simulation tests, the collision recovery coefficient between the seed and rubber material is determined to be 0.469, the static friction coefficient is 0.474, and the rolling friction coefficient is 0.0062. Subsequently, two repose angle tests are carried out by employing the box side plates lifting method and the cylinder lifting method. With the application of the response surface method and a search algorithm based on Matlab 2019, the optimal combination of seed-to-seed contact parameters, namely, the collision recovery coefficient, static friction coefficient, and rolling friction coefficient, is obtained, which are 0.500, 0.476, and 0.043, respectively. Finally, the calibration results are verified by a seed-falling device that combines collisions and accumulation, and it is shown that the relative error between the simulation result and the actual result in the verification test is small. Thus, the calibration results can provide assistance for the design and optimization of the potato minituber seed planter.

Suggested Citation

  • Kai Chen & Xiang Yin & Wenpeng Ma & Chengqian Jin & Yangyang Liao, 2024. "Contact Parameter Calibration for Discrete Element Potato Minituber Seed Simulation," Agriculture, MDPI, vol. 14(12), pages 1-20, December.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:12:p:2298-:d:1544048
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/12/2298/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/12/2298/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dongdong Li & Rongyang Wang & Yingpeng Zhu & Jianneng Chen & Guofeng Zhang & Chuanyu Wu, 2024. "Calibration of Simulation Parameters for Fresh Tea Leaves Based on the Discrete Element Method," Agriculture, MDPI, vol. 14(1), pages 1-14, January.
    2. Wei Xing & Hua Zhang & Wei Sun & Hui Li & Xiaolong Liu & Hongling Li & Yangzhou Chen & Yonggang Lu, 2024. "Performance Study of a Chain–Spoon Seed Potato Discharger Based on DEM-MBD Coupling," Agriculture, MDPI, vol. 14(9), pages 1-23, September.
    Full references (including those not matched with items on IDEAS)

    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.

      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:14:y:2024:i:12:p:2298-:d:1544048. 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.