智能化农业装备学报（中英文）2025，Vol.6Issue(2)：69-78,10.DOI:10.12398/j.issn.2096-7217.2025.02.006
智能贝类播苗设备离散元仿真参数标定
Discrete element simulation parameter calibration for smart shellfish seeding devices
摘要
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.关键词
智能播苗设备/四角蛤蜊/贝苗/离散元/参数标定Key words
intelligent seeding equipment/Mactra veneriformis/clam seedling/discrete elements/parameter calibration分类
农业科技引用本文复制引用
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[J].智能化农业装备学报（中英文）,2025,6(2):69-78,10.基金项目
国家重点研发计划项目(2023YFD2400800) （2023YFD2400800）
辽宁省教育厅项目(LJ232410158048) National Key Research and Development Program of China(2023YFD2400800) （LJ232410158048）
Program of Liaoning Provincial Education Department(LJ232410158048) （LJ232410158048）
