基于离散元法的茶园仿生铲减阻性能研究

doi:10.13305/j.cnki.jts.2022.06.004

摘要/Abstract

摘要： 针对茶园土壤板结较为严重、行距小、耕作阻力大且易使耕作机构发生缠绕等问题,提出了一种基于离散元法的仿生铲,并对其进行减阻性能研究。使用离散元仿真与试验结合的方法对茶园板结土壤的物理参数进行测量。以鼹鼠爪趾为原型,结合其挖掘动作,设计出基于四杆机构的耕作机构,并使用离散元的方法研究鼹鼠爪趾的趾尖、趾廓及两者复合的仿生特征的减阻效果。离散元仿真结果表明,在各个耕作条件下,趾尖仿生特征的平均扭矩减小比例和功耗减少比例分别为1.72%~5.04%和1.58%~4.84%,趾廓仿生特征的平均扭矩减小比例和功耗减少比例分别为34.06%~39.29%和29.02%~34.73%,复合仿生特征的平均扭矩减小比例和功耗减少比例分别为36.61%~42.06%和30.84%~38.15%,说明趾尖和趾廓两个仿生特征的减阻效果在一定程度上可以叠加,复合后的仿生特征有更好的减阻效果。

关键词: 离散元, 茶园土壤, 浅耕, 仿生, 减阻, 参数标定

Abstract: Aiming at the problems of serious soil compaction, small row spacing, large tillage resistance and easy entanglement in tea gardens, a bionic shovel based on discrete element method was proposed, and its drag reduction performance was studied. The physical parameters of the compacted soil in tea garden were measured by discrete element simulation and experiment method. Taking the mole claw as the prototype, combined with its digging action, a tillage agency based on a four-bar mechanism was designed, and the drag reduction effects of the claw tip and claw profile of the mole claw were studied using the discrete element method. From the discrete element simulation results, it can be seen that under various tillage conditions, the average torque reduction ratio and power consumption reduction ratio of the claw-tip bionic feature were 1.72%-5.04% and 1.58%-4.84%, respectively. The average torque reduction ratio and power consumption reduction ratio of the claw profile bionic feature were 34.06%-39.29% and 29.02%-34.73%, respectively. The average torque reduction ratio and power consumption reduction ratio of the composite bionic feature were 36.61%-42.06% and 30.84%-38.15%, respectively. It can be seen that the drag reduction effects of the two bionic features could be superposed to a certain extent, and the combined bionic feature had a better drag reduction effect.

Key words: discrete element, tea garden soil, shallow tillage, bionics, drag reduction, parameter calibration

中图分类号:

姜嘉胤, 董春旺, 倪益华, 徐家俊, 李杨, 马蓉. 基于离散元法的茶园仿生铲减阻性能研究[J]. 茶叶科学, 2022, 42(6): 791-805. doi: 10.13305/j.cnki.jts.2022.06.004.

JIANG Jiayin, DONG Chunwang, NI Yihua, XU Jiajun, LI Yang, MA Rong. Research on Drag Reduction Performance of Tea Garden Bionic Shovel Based on Discrete Element Method[J]. Journal of Tea Science, 2022, 42(6): 791-805. doi: 10.13305/j.cnki.jts.2022.06.004.

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