IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i5p987-d1136560.html
   My bibliography  Save this article

Design and Experiment of Automatic Adjustable Transplanting End-Effector Based on Double-Cam

Author

Listed:
  • Xinwu Du

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Longmen Laboratory, Luoyang 471000, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471003, China)

  • Zhihao Yun

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang 471003, China)

  • Xin Jin

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Longmen Laboratory, Luoyang 471000, China)

  • Pengfei Li

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Kaihang Gao

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China)

Abstract

In view of the plugged-out end-effector that can adapt only to a specific size of the tray, the needle spacing and angle of the seedling needle are fixed. In this paper, a new type of plugged-out transplanting end-effector is proposed. The end-effector adopts a double-cam structure to automatically adjust the spacing and angle of the seedling needle, which solves the problem of picking seedlings for different sizes of trays. Firstly, the working principle of 72-hole, 128-hole, and 200-hole trays and a plugged-out end-effector was analyzed. The overall structure of the end-effector was designed. Subsequently, the EDEM software was used to construct the pot seedling model and conduct single-factor simulation experiments to identify the range of factors for the subsequent regression orthogonal experiment. Finally, a tray transplanting test platform was built. With the grasping acceleration, penetration angle, insertion depth, and insertion margin ratio as the test factors and the pot seedling breakage rate as the test evaluation indicators. A four-factor three-level orthogonal regression experiment was conducted to establish a regression model of the seedling breakage rate, and its parameters were optimized. The optimal combination is detailed as follows: a 72-hole tray grasping acceleration of 0.28 m/s 2 , a penetration angle of 13°, an insertion depth of 40 mm, and an insertion margin ratio of 15%; a 128-hole tray grasping acceleration of 0.28 m/s 2 , a penetration angle of 12°, an insertion depth of 36 mm, and an insertion margin ratio of 15%; a 200-hole tray grasping acceleration of 0.28 m/s 2 , a penetration angle of 11°, an insertion depth of 32 mm, and an insertion margin ratio of 10%. Under the optimal combination, the breakage rate of 72 holes reached 2.92%. The breakage rate of 128 holes was stable at 1.76%, while that of 200 holes was stable at 0.68%, which is conducive to the study of a general end-effector. The device developed in this study provides an effective solution to taking and throwing different sizes of cavitation trays, thus providing a practical reference for the study of a generic end-effector.

Suggested Citation

  • Xinwu Du & Zhihao Yun & Xin Jin & Pengfei Li & Kaihang Gao, 2023. "Design and Experiment of Automatic Adjustable Transplanting End-Effector Based on Double-Cam," Agriculture, MDPI, vol. 13(5), pages 1-15, April.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:987-:d:1136560
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/5/987/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/5/987/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ling Ren & Bindong Zhao & Weibin Cao & Wenbin Song & Ming Zhao, 2022. "Design of Stretchable Style Pick-Up Device for Tomato Seedling Transplanters," Agriculture, MDPI, vol. 12(5), pages 1-14, May.
    2. Xiong Zhao & Di Cheng & Wenxun Dong & Xingxiao Ma & Yongsen Xiong & Junhua Tong, 2022. "Research on the End Effector and Optimal Motion Control Strategy for a Plug Seedling Transplanting Parallel Robot," Agriculture, MDPI, vol. 12(10), pages 1-21, October.
    3. Md Nafiul Islam & Md Zafar Iqbal & Mohammod Ali & Milon Chowdhury & Md Shaha Nur Kabir & Tusan Park & Yong-Joo Kim & Sun-Ok Chung, 2020. "Kinematic Analysis of a Clamp-Type Picking Device for an Automatic Pepper Transplanter," Agriculture, MDPI, vol. 10(12), pages 1-17, December.
    4. Rencai Yue & Jianping Hu & Yijun Liu & Mengjiao Yao & Tengfei Zhang & Jiawei Shi, 2022. "Design and Working Parameter Optimization of Pneumatic Reciprocating Seedling-Picking Device of Automatic Transplanter," Agriculture, MDPI, vol. 12(12), pages 1-18, November.
    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. Yang Xu & Changjie Han & Jing Zhang & Bin Hu & Xu Ma & Hanping Mao, 2024. "Innovative Designs for Cotton Bionic Topping Manipulator," Agriculture, MDPI, vol. 14(9), pages 1-23, August.
    2. Chuanxing Du & Weiquan Fang & Dianlei Han & Xuegeng Chen & Xinzhong Wang, 2024. "Design and Experimental Study of a Biomimetic Pod-Pepper-Picking Drum Based on Multi-Finger Collaboration," Agriculture, MDPI, vol. 14(2), pages 1-19, February.
    3. Bin Zhang & Xuegeng Chen & Huiming Zhang & Congju Shen & Wei Fu, 2022. "Design and Performance Test of a Jujube Pruning Manipulator," Agriculture, MDPI, vol. 12(4), pages 1-21, April.
    4. Chongyang Han & Jinhong Lv & Chengju Dong & Jiehao Li & Yuanqiang Luo & Weibin Wu & Mohamed Anwer Abdeen, 2024. "Classification, Advanced Technologies, and Typical Applications of End-Effector for Fruit and Vegetable Picking Robots," Agriculture, MDPI, vol. 14(8), pages 1-37, August.

    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:13:y:2023:i:5:p:987-:d:1136560. 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.