IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i5p750-d1392746.html
   My bibliography  Save this article

Simulation and Optimization of a Pendulum-Lever-Type Hole-Seeding Device

Author

Listed:
  • Hengshan Zhou

    (State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China
    College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

  • Fei Dai

    (State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China
    College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

  • Ruijie Shi

    (College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

  • Cai Zhao

    (State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, China)

  • Huan Deng

    (College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

  • Haifu Pan

    (College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

  • Qinxue Zhao

    (College of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou 730070, China)

Abstract

The process of hole seeding on the mulch during full-film double-row furrow corn planting faces issues such as poor seed discharge and seed blockage. To address these challenges, a pendulum-lever-type hole-forming mechanism is designed, along with an adjustment device. By analyzing the working principles of the pendulum-lever-type hole seeder and the adjustment device, the structural parameters of the device are determined. Through theoretical analysis and simulation experiments, three-dimensional models of seeds and hole seeders are constructed. Based on MBD-DEM cosimulation, the trajectory of seed movement and the seeding process of the hole seeder are analyzed to elucidate the effects of the hole-former opening and the number of pendulum bearings on seeding quality. To improve the operational performance of the hole seeder, experiments are conducted using the hole seeder’s rotating disc speed, lever angle of the hole-former, and the number of pendulum bearings as experimental factors, with the qualification index, miss-seeding index, and reseeding index as experimental indicators. A three-factor, three-level Box–Behnken central composite experiment is performed to obtain mathematical models of the relationships between the experimental factors and indicators. Using Design-Expert 12 software, the regression models are optimized for multiple objectives to obtain the optimal parameter combination: a seeder disc speed of 49 r/min (corresponding to a forward speed of 5.76 km/h), a lever angle of 131°, and four pendulum bearings. Under this optimal parameter combination, the qualification index is 91.70%, the miss-seeding index is 4.57%, and the reseeding index is 3.73%. Experimental validation of the seeding performance of the hole seeder under the optimal parameter combination is conducted. Bench tests show that the qualification index, miss-seeding index, and reseeding index are 90.53%, 5.60%, and 3.87%, respectively. Field tests demonstrate a qualification index of 89.13%, a miss-seeding index of 5.46%, and a reseeding index of 6.41%. The actual results are consistent with the optimized values, providing valuable insights for the design and performance optimization of hole seeders.

Suggested Citation

  • Hengshan Zhou & Fei Dai & Ruijie Shi & Cai Zhao & Huan Deng & Haifu Pan & Qinxue Zhao, 2024. "Simulation and Optimization of a Pendulum-Lever-Type Hole-Seeding Device," Agriculture, MDPI, vol. 14(5), pages 1-22, May.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:5:p:750-:d:1392746
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/5/750/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/5/750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sugirbay Adilet & Jian Zhao & Nukeshev Sayakhat & Jun Chen & Zagainov Nikolay & Lingxin Bu & Zhanar Sugirbayeva & Guangrui Hu & Muratkhan Marat & Zhiwei Wang, 2021. "Calibration Strategy to Determine the Interaction Properties of Fertilizer Particles Using Two Laboratory Tests and DEM," Agriculture, MDPI, vol. 11(7), pages 1-19, June.
    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.
    1. Adilet Sugirbay & Guang-Rui Hu & Jun Chen & Zhasulan Mustafin & Marat Muratkhan & Ruslan Iskakov & Yu Chen & Shuo Zhang & Lingxin Bu & Yerassyl Dulatbay & Bauyrzhan Mukhamed, 2022. "A Study on the Calibration of Wheat Seed Interaction Properties Based on the Discrete Element Method," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    2. Jinming Zheng & Lin Wang & Xiaochan Wang & Yinyan Shi & Zhenyu Yang, 2023. "Parameter Calibration of Cabbages ( Brassica oleracea L.) Based on the Discrete Element Method," Agriculture, MDPI, vol. 13(3), pages 1-17, February.
    3. Weiquan Fang & Xinzhong Wang & Dianlei Han & Xuegeng Chen, 2022. "Review of Material Parameter Calibration Method," Agriculture, MDPI, vol. 12(5), pages 1-17, May.
    4. Adilet Sugirbay & Kaiyuan Zhao & Guangyao Liu & Guangrui Hu & Jun Chen & Zhasulan Mustafin & Ruslan Iskakov & Nurbol Kakabayev & Marat Muratkhan & Valery Khan & Yu Chen & Shuo Zhang, 2023. "Double Disc Colter for a Zero-Till Seeder Simultaneously Applying Granular Fertilizers and Wheat Seeds," Agriculture, MDPI, vol. 13(5), pages 1-15, May.
    5. Yu Chen & Yuming Cheng & Jun Chen & Zhiqi Zheng & Chenwei Hu & Jiayu Cao, 2021. "Design and Experiment of the Buckwheat Hill-Drop Planter Hole Forming Device," Agriculture, MDPI, vol. 11(11), pages 1-17, November.
    6. Mingjin Xin & Zhiwen Jiang & Yuqiu Song & Hongguang Cui & Aiju Kong & Bowen Chi & Renbao Shan, 2023. "Compression Strength and Critical Impact Speed of Typical Fertilizer Grains," Agriculture, MDPI, vol. 13(12), pages 1-16, December.
    7. Deli Jiang & Xuegeng Chen & Limin Yan & Haixiao Gou & Jiacheng Yang & Ying Li, 2023. "Parameter Calibration of Discrete Element Model for Cotton Rootstalk–Soil Mixture at Harvest Stage in Xinjiang Cotton Field," Agriculture, MDPI, vol. 13(7), pages 1-17, July.

    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:5:p:750-:d:1392746. 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.