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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
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    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. 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.
    3. 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.
    4. 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.
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