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Discrete element simulation parameter calibration for smart shellfish seeding devices
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Yuhang LUAN1, Yuxing QIAN1, Min GAO1, Mingyu WANG1, Xiuchen LI1, 2, 3, Hanbing ZHANG1, 2, 3
Journal of Intelligent Agricultural Mechanization | 2025, 6(2) : 69 - 78
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Journal of Intelligent Agricultural Mechanization | 2025, 6(2): 69-78
Discrete element simulation parameter calibration for smart shellfish seeding devices
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Yuhang LUAN1, Yuxing QIAN1, Min GAO1, Mingyu WANG1, Xiuchen LI1, 2, 3, Hanbing ZHANG1, 2, 3
Affiliations
  • 1.School of Mechanical and Power Engineering, Dalian Ocean University, Dalian 116023, China
  • 2.Marine Fishery Equipment Professional Technology Innovation Center of Liaoning Province, Dalian 116023, China
  • 3.Facilities Key Laboratory of Fisheries Ministry of Education, Dalian 116023, China
  • LUAN Yuhang, E-mail:

About Author:

LUAN Yuhang, E-mail:

Published: 2025-05-15 doi: 10.12398/j.issn.2096-7217.2025.02.006
Outline
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To enhance the accuracy of the discrete element method (DEM) simulation parameters for smart shellfish seeding equipment, this study systematically calibrated the contact parameters between the clam seedling of the shifting beach quadrangular clam and the contact materials (EVA, stainless steel plate) and the clam seedling for the first time. This calibration process integrated physical property tests with DEM simulation. Reverse engineering techniques employing a 3D scanner were utilized to obtain the clam seedling contours. Subsequently, particulate model of the clam seedlings were developed based on the Hertz-Mindlin no-slip contact model with DEM framework. Free-fall collision method, inclined plane sliding method, and fixed inclined plane rolling method were used to calibrate the contact parameters between the clam seedlings and contact materials (EVA, stainless steel plate), respectively, and the results showed that: the coefficient of recovery of collision, static friction factor, and rolling friction factor between the clam seedlings and EVA were 0.339, 0.538, and 0.205, respectively. For clam seedling-stainless steel plate interactions, these parameters were 0.128, 0.323, and 0.177, respectively. The inter-seedling contact parameters were determined by the suspension collision method with MXZ-1 type friction coefficient meter. Taking the inter-seedling contact parameters as test factors, taking the relative error between the experimentally measured and DEM-simulated angle of repose served as indexes, a three-factor three-level orthogonal test was carried out, and taking the minimum relative error as the optimization objective, the optimization analysis of the test data yielded the following results: the coefficients of recovery of the collision between the clam seedlings and the shellfish seedlings, the static friction factor, and the rolling friction factor were 0.170, 0.620, and 0.313, respectively. The validation test of the calibration results was carried out through the lifting cylinder method, and the results showed that the relative error between the simulated and experimentally measured angles of repose was 3.6%, which proved that the calibration results were true and reliable. This study filled the gap of discrete meta-parameter calibration of shifting beach quadrangular clam shellfish seedling, and provides theoretical basis for the optimization of key components, such as silo inclination angle, drop port position and impeller disc, for the intelligent seedling sowing equipment.

intelligent seeding equipment  /  Mactra veneriformis  /  clam seedling  /  discrete elements  /  parameter calibration
栾宇航, 钱宇星, 高敏, 王明宇, 李秀辰, 张寒冰. 智能贝类播苗设备离散元仿真参数标定. 智能化农业装备学报(中英文), 2025 , 6 (2) : 69 -78 . DOI: 10.12398/j.issn.2096-7217.2025.02.006
Yuhang LUAN, Yuxing QIAN, Min GAO, Mingyu WANG, Xiuchen LI, Hanbing ZHANG. Discrete element simulation parameter calibration for smart shellfish seeding devices[J]. Journal of Intelligent Agricultural Mechanization, 2025 , 6 (2) : 69 -78 . DOI: 10.12398/j.issn.2096-7217.2025.02.006
  • National Key Research and Development Program of China(2023YFD2400800)
  • Program of Liaoning Provincial Education Department(LJ232410158048)
Year 2025 volume 6 Issue 2
33
11
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Article Info
doi: 10.12398/j.issn.2096-7217.2025.02.006
  • Receive Date:2025-03-03
  • Online Date:2026-11-05
  • Published:2025-05-15
Article Data
Affiliations
History
  • Received:2025-03-03
  • Revised:2025-04-03
Funding
National Key Research and Development Program of China(2023YFD2400800)
Program of Liaoning Provincial Education Department(LJ232410158048)
Affiliations
    1.School of Mechanical and Power Engineering, Dalian Ocean University, Dalian 116023, China
    2.Marine Fishery Equipment Professional Technology Innovation Center of Liaoning Province, Dalian 116023, China
    3.Facilities Key Laboratory of Fisheries Ministry of Education, Dalian 116023, China

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* ZHANG Hanbing, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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