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智能化农业装备学报（中英文）

智能化农业装备学报（中英文） ›› 2025, Vol. 6 ›› Issue (2): 69-78.DOI: 10.12398/j.issn.2096-7217.2025.02.006

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智能贝类播苗设备离散元仿真参数标定

栾宇航1(), 钱宇星1, 高敏1, 王明宇1, 李秀辰1,2,3, 张寒冰1,2,3()   

  1. 1.大连海洋大学机械与动力工程学院，辽宁 大连，116023
    2.辽宁省海洋渔业装备专业技术创新中心，辽宁 大连，116023
    3.设施渔业教育部重点实验室，辽宁 大连，116023
  • 收稿日期:2025-03-03 修回日期:2025-04-03 出版日期:2025-05-15 发布日期:2025-05-20
  • 通讯作者: 张寒冰
  • 作者简介:栾宇航，男，1998年生，辽宁沈阳人，硕士研究生；研究方向为渔业装备。E-mail： 1151681767@qq.com
  • 基金资助:
    国家重点研发计划项目(2023YFD2400800);辽宁省教育厅项目(LJ232410158048)

Discrete element simulation parameter calibration for smart shellfish seeding devices

LUAN Yuhang1(), QIAN Yuxing1, GAO Min1, WANG Mingyu1, LI Xiuchen1,2,3, ZHANG Hanbing1,2,3()   

  1. 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
  • Received:2025-03-03 Revised:2025-04-03 Online:2025-05-15 Published:2025-05-20
  • Contact: ZHANG Hanbing
  • Supported by:
    National Key Research and Development Program of China(2023YFD2400800);Program of Liaoning Provincial Education Department(LJ232410158048);First Author：LUAN Yuhang, E-mail： 1151681767@qq.com* Correspondence Author：ZHANG Hanbing, E-mail： zhanghanbing@dlou.edu.cn

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摘要：

为提高智能贝类播苗设备离散元仿真参数的准确性，本研究首次系统标定了移滩规格四角蛤蜊贝苗与接触材料（EVA、不锈钢板）及贝苗间的接触参数。通过物理特性试验与离散元相结合的方法对贝苗接触参数进行标定。利用三维扫描仪逆向工程技术获取贝苗轮廓，基于Hertz-Mindlin无滑移接触模型建立贝苗颗粒模型。分别采用自由下落碰撞法、倾斜平面滑动法、固定斜面滚动法对贝苗与接触材料（EVA、不锈钢板）间接触参数进行标定，结果表明：贝苗与EVA间碰撞恢复系数、静摩擦系数、滚动摩擦系数分别为0.339、0.538、0.205；贝苗与不锈钢板间碰撞恢复系数、静摩擦系数、滚动摩擦系数分别为0.128、0.323、0.177。通过悬挂碰撞法与MXZ-1型摩擦系数仪测定贝苗间接触参数。以贝苗与贝苗间接触参数为试验因素，以实测堆积角与仿真堆积角相对误差为指标，进行三因素三水平正交试验，以最小相对误差为优化目标，对试验数据寻优分析得到：贝苗与贝苗间碰撞恢复系数、静摩擦系数、滚动摩擦系数分别为0.170、0.620、0.313。通过提升圆筒法对标定结果进行验证试验，结果表明：仿真堆积角与实测堆积角相对误差为3.6%，证明标定结果真实可靠。本研究填补了移滩四角蛤蜊贝苗离散元参数标定的空白，为智能播苗设备的料仓倾角、落料口位置和叶轮盘等关键部件优化提供了理论依据。

关键词: 智能播苗设备, 四角蛤蜊, 贝苗, 离散元, 参数标定

Abstract:

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.

Key words: intelligent seeding equipment, Mactra veneriformis, clam seedling, discrete elements, parameter calibration

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