| 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 |
| Key Words: astragalus harvesting machine separation device parameter calibration co\|simulation EDEM-Recurdyn |
| Author Name | Affiliation | | ZHANG Xuekun | School of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | ZHANG Xuejian | School of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | SHEN Shuai | School of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | DAI Fei | School of Mechanical and Electrical Engineering, Gansu Agricultural University, Lanzhou, Gansu 730070, China |
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| Abstract: |
| 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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