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Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method

Author

Listed:
  • Dongu Im

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea)

  • Ho-Seop Lee

    (Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea)

  • Jae-Hyun Kim

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea)

  • Dong-Joo Moon

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea)

  • Tae-Ick Moon

    (Taeung Farm Machinery, Hanseong-ro, Isan-myeon, Yeongju-si 36170, Republic of Korea)

  • Seung-Hwa Yu

    (Department of Agricultural Engineering, Upland Mechanization Team, National Institute of Agricultural Sciences, Nongsaengmyeong-ro, Deokjin-gu, Jeonju-si 54875, Republic of Korea)

  • Young-Jun Park

    (Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
    Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea
    Convergence Major in Global Smart Farm, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea)

Abstract

In this study, the discrete element method was used to optimize the bucket size for the metering device in a garlic planter for enhancing the productivity of garlic farming according to the garlic size. Statistical information concerning the actual shape of garlic cloves was incorporated, and the mechanical properties of garlic were determined using the bulk density, sliding test, and repose angle test for enhancing the fidelity of the simulation model. The optimal bucket size achieving the target plant rate of 97.5% was determined using the developed discrete element model for the three garlic size groups. The linear search method was used for optimization, and batch simulation was performed to validate the optimized results and confirm the performance index of the metering device. A Gaussian distribution based on statistical information accounted for the various garlic sizes in each group. Finally, a metering test verified the reliability of the optimization technique. The differences between the simulation and test results were within 10% for all performance indices, including missing plant rate, multi-plant rate, and planting rate, indicating the high reliability of the analysis model. Subsequently, the larger garlic groups (Groups 2 and 3) exhibited metering performance close to the target plant rate.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:6:p:1199-:d:1164281
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    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.
    2. Meimei Wang & Qingting Liu & Yinggang Ou & Xiaoping Zou, 2022. "Numerical Simulation and Verification of Seed-Filling Performance of Single-Bud Billet Sugarcane Seed-Metering Device Based on EDEM," Agriculture, MDPI, vol. 12(7), pages 1-11, July.
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