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

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 me...

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Main Authors: Dongu Im, Ho-Seop Lee, Jae-Hyun Kim, Dong-Joo Moon, Tae-Ick Moon, Seung-Hwa Yu, Young-Jun Park
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/13/6/1199
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author Dongu Im
Ho-Seop Lee
Jae-Hyun Kim
Dong-Joo Moon
Tae-Ick Moon
Seung-Hwa Yu
Young-Jun Park
author_facet Dongu Im
Ho-Seop Lee
Jae-Hyun Kim
Dong-Joo Moon
Tae-Ick Moon
Seung-Hwa Yu
Young-Jun Park
author_sort Dongu Im
collection DOAJ
description 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.
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spelling doaj.art-9c6feb83bd42408287ae288cd86f16322023-11-18T08:51:41ZengMDPI AGAgriculture2077-04722023-06-01136119910.3390/agriculture13061199Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element MethodDongu Im0Ho-Seop Lee1Jae-Hyun Kim2Dong-Joo Moon3Tae-Ick Moon4Seung-Hwa Yu5Young-Jun Park6Department of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaResearch Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaTaeung Farm Machinery, Hanseong-ro, Isan-myeon, Yeongju-si 36170, Republic of KoreaDepartment of Agricultural Engineering, Upland Mechanization Team, National Institute of Agricultural Sciences, Nongsaengmyeong-ro, Deokjin-gu, Jeonju-si 54875, Republic of KoreaDepartment of Biosystems Engineering, College of Agriculture and Life Sciences, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of KoreaIn 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.https://www.mdpi.com/2077-0472/13/6/1199garlic plantermetering devicesize optimizationdiscrete element method
spellingShingle Dongu Im
Ho-Seop Lee
Jae-Hyun Kim
Dong-Joo Moon
Tae-Ick Moon
Seung-Hwa Yu
Young-Jun Park
Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
Agriculture
garlic planter
metering device
size optimization
discrete element method
title Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
title_full Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
title_fullStr Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
title_full_unstemmed Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
title_short Bucket Size Optimization for Metering Device in Garlic Planter Using Discrete Element Method
title_sort bucket size optimization for metering device in garlic planter using discrete element method
topic garlic planter
metering device
size optimization
discrete element method
url https://www.mdpi.com/2077-0472/13/6/1199
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