| 张雪坤,张学剑,沈帅,戴飞.基于EDEM-Recurdyn的黄芪收获机药土分离装置仿真与试验[J].干旱地区农业研究,2026,(3):316~330 |
| 基于EDEM-Recurdyn的黄芪收获机药土分离装置仿真与试验 |
| Simulation and experimentation of the medicinal and soil separation device in an astragalus harvesting machine based on EDEM-Recurdyn |
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| DOI:10.7606/j.issn.1000-7601.2026.03.30 |
| 中文关键词: 黄芪收获机 分离装置 参数标定 联合仿真 EDEM-Recurdyn |
| 英文关键词:astragalus harvesting machine separation device parameter calibration co\|simulation EDEM-Recurdyn |
| 基金项目:甘肃省高等学校创新基金(2023B-088);甘肃农业大学伏羲青年英才培养计划项目(Gaufx-03Y01) |
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| 中文摘要: |
| 针对丘陵山区黄芪机械化收获根土分离难、输送效率低等问题,开展黄芪收获机药土分离装置作业机理与参数优化试验研究。首先选用EDEM中的Hertz-Mindlin with JKR模型,以水平滚动距离为响应值对黄芪和药土分离装置之间的接触参数进行标定;其次以标定试验所得的接触参数在EDEM中完成了颗粒的离散元建模,通过EDEM-Recurdyn耦合开展黄芪收获过程中药土分离过程进行联合仿真,验证模型的可靠性,明确黄芪药土复合体输送分离规律,确定影响黄芪药土分离的主要参数为机器前进速度、输送链轴转速、振动装置振动频率。通过仿真试验得到最优参数组合:前进速度为0.8 m·s-1、输送链轴转速为174 r·min-1、振动装置振动频率为6.6 Hz;最后以仿真试验得出的最优参数组合为田间试验参数,进行田间试验测得的平均明茎率为92.36%、挖净率为97.14%、损伤率为1.24%、挖掘深度均值为400 mm,均符合相关标准,具有较好的分离效果。 |
| 英文摘要: |
| To address the challenges of root\|soil separation difficulty and low conveying efficiency in mechanized harvesting of astragalus in hilly and mountainous areas, this study conducted an operational mechanism and parameter optimization experiment on the root\|soil separation device of astragalus harvesters. First, mechanical characteristics of astragalus were measured through experiments. The Hertz-Mindlin with JKR model in EDEM was selected, with steel materials used to construct a slope platform and simulation model. The contact parameters between the astragalus and the root\|soil separation device were calibrated using rolling distance as the response value. Second, dynamic modeling of the root\|soil separation device was completed in Recurdyn software. The contact parameters obtained from calibration tests were used to establish particle discrete element modeling in EDEM. Through EDEM-Recurdyn coupling, a joint simulation of the root\|soil separation process during astragalus harvesting was conducted to verify model reliability, clarify the transport and separation patterns of astragalus\|root\|soil complexes, and identify the key parameters affecting separation: machine forward speed, conveyor chain shaft rotation speed, and vibration device frequency. Simulation experiments and Design\|Expert software analysis yielded the optimal parameter combination: a forward speed of 0.8 m·s-1, a conveyor chain shaft rotation speed of 174 r·min-1, and a vibration device frequency of 6.6 Hz. Finally, the optimal parameter combination derived from simulations was applied to field trials, achieving an average clean stem rate of 92.36%, a clean harvesting rate of 97.14%, a damage rate of 1.24%, and an average digging depth of 400 mm, all meeting relevant standards and demonstrating effective separation performance. |
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