IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i5p626-d803921.html
   My bibliography  Save this article

Determination of Discrete Element Modelling Parameters of Adzuki Bean Seeds

Author

Listed:
  • Yan Liu

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China)

  • Guopeng Mi

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China)

  • Shilin Zhang

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China)

  • Peng Li

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China)

  • Yuxiang Huang

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Xianyang 712100, China)

Abstract

Using discrete element simulation to reveal the interaction between seed and seed metering devices (SMD) is an important method for developing SMDs. However, due to the lack of discrete element modeling (DEM) parameters of adzuki bean seeds (ABS) in existing literature, it is difficult to develop a suitable SMD. In this study, the DEM parameters of ABS were determined by a combination of physical tests and virtual calibration. Initially, the intrinsic parameters, contact parameters, and angle of repose (AOR) of ABS were measured. The parameters significantly affected AOR were then screened out by Plackett–Burman test. Furthermore, the Steepest Ascent test was used to determine the optimal interval value of significant parameters. Finally, the optimal values of significant parameters were obtained by the Box–Behnken test with an AOR of 23.93° and an error of 0 as targets. The results showed that the coefficient of static friction of ABS–ABS, coefficient of static friction of ABS-photosensitive resin plate, and coefficient of rolling friction of ABS–ABS significantly affected the AOR, and their optimal values were 0.302, 0.282, and 0.043, respectively. The verification test showed that the relative error between simulated and measured values of AOR was 0.67%. This indicated that the determined DEM parameters were accurate and reliable. The results from the study can provide a reference for the selection of DEM parameters in the mechanized seeding process of ABS.

Suggested Citation

  • Yan Liu & Guopeng Mi & Shilin Zhang & Peng Li & Yuxiang Huang, 2022. "Determination of Discrete Element Modelling Parameters of Adzuki Bean Seeds," Agriculture, MDPI, vol. 12(5), pages 1-13, April.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:626-:d:803921
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/5/626/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/12/5/626/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huiping Guo & Yazhou Cao & Wenyuan Song & Jiao Zhang & Changlin Wang & Chensi Wang & Fuzeng Yang & Lin Zhu, 2021. "Design and Simulation of a Garlic Seed Metering Mechanism," Agriculture, MDPI, vol. 11(12), pages 1-17, December.
    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. Hao Zhou & Kangtai Li & Zhiyu Qin & Shengsheng Wang & Xuezhen Wang & Fengyun Sun, 2024. "Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters," Agriculture, MDPI, vol. 14(7), pages 1-13, July.
    2. Binnan Zhou & Yi Zuo & Lixia Hou, 2023. "Parameter Calibration of Xinjiang Paperbark Walnut Kernels by Discrete Element Simulation," Agriculture, MDPI, vol. 13(2), pages 1-13, January.

    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. Dongu Im & Ho-Seop Lee & Jae-Hyun Kim & Dong-Joo Moon & Tae-Ick Moon & Seung-Hwa Yu & Young-Jun Park, 2023. "Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method," Agriculture, MDPI, vol. 13(6), pages 1-17, June.
    2. Wang Yang & Jinfei Zhao & Xinying Liu & Linqiao Xi & Jiean Liao, 2022. "Simulation and Test of “Separated Burying Device” of Green Manure Returning Machine Based on the EDEM Software," Agriculture, MDPI, vol. 12(5), pages 1-15, April.
    3. Bo Lu & Xiangdong Ni & Shufeng Li & Kezhi Li & Qingzheng Qi, 2022. "Simulation and Experimental Study of a Split High-Speed Precision Seeding System," Agriculture, MDPI, vol. 12(7), pages 1-22, 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:12:y:2022:i:5:p:626-:d:803921. 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.