金诚谦, 刘岗微, 倪有亮, 杨腾祥, 王廷恩, 齐彦栋. 基于MBD-DEM耦合的联合收获机割台仿形机构设计与试验[J]. 农业工程学报, 2022, 38(2): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.02.001
    引用本文: 金诚谦, 刘岗微, 倪有亮, 杨腾祥, 王廷恩, 齐彦栋. 基于MBD-DEM耦合的联合收获机割台仿形机构设计与试验[J]. 农业工程学报, 2022, 38(2): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.02.001
    Jin Chengqian, Liu Gangwei, Ni Youliang, Yang Tengxiang, Wang Tingen, Qi Yandong. Design and experiment of header profiling mechanism for combine harvester based on MBD-DEM coupling[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(2): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.02.001
    Citation: Jin Chengqian, Liu Gangwei, Ni Youliang, Yang Tengxiang, Wang Tingen, Qi Yandong. Design and experiment of header profiling mechanism for combine harvester based on MBD-DEM coupling[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(2): 1-10. DOI: 10.11975/j.issn.1002-6819.2022.02.001

    基于MBD-DEM耦合的联合收获机割台仿形机构设计与试验

    Design and experiment of header profiling mechanism for combine harvester based on MBD-DEM coupling

    • 摘要: 为提高联合收获机割台仿形机构对田间地形变化感知的灵敏度和对田间地形仿形的准确度,该研究设计了一种主-副板压紧式割台仿形机构。基于对仿形机构的理论分析,以割台对副仿形板作用力、土壤对主仿形板作用力和土壤下陷距离为试验指标,以弹簧刚度系数、弹簧初始长度、副仿形板长度和主仿形板长度为因素,设计了二次回归通用旋转组合优化试验。运用粒子群优化算法确定各因素水平范围,基于多体动力学(Multi-Body Dynamics, MBD)-离散元(Discrete Element Method, DEM)耦合方法进行仿真试验,建立了各因素与指标间的数学回归模型。对模型进行参数优化,得到最优参数组合为:弹簧刚度系数464 N/m,弹簧初始长度90 mm,副仿形板长度484 mm,主仿形板长度450 mm。主、副仿形板宽度200 mm,材料为301不锈钢,弹簧材料为碳素弹簧钢丝,直径2 mm,外径20 mm,有效圈数45圈。田间试验结果表明:割台对副仿形板作用力均大于0,表明仿形机构始终处于正常工作状态,土壤对主仿形板平均作用力分别为85.23、85.80和86.08 N,与预测值基本一致,表明仿形机构感知地形变化较灵敏,对应的土壤平均下陷距离分别为5.4、7.1和6.4 mm,均小于10 mm,表明仿形机构对田间地形仿形准确度较高,参数设计合理。研究结果可为联合收获机割台仿形系统设计提供参考。

       

      Abstract: Abstract: A header profiling system can be used to stabilize the header height during the operation of a combine harvester. The harvesting efficiency can be improved to protect the header from damage by stones and other debris in fields. It is very necessary to enhance the control accuracy of header height via the design of the mechanical structure, rather than only the header profiling algorithm so far. Therefore, this study aims to improve the sensitivity of the header profiling mechanism response to the topography change in the field, and the accuracy of field terrain profiling. A main-sub-plate pressing profiling mechanism was proposed, which was composed of a main profiling plate, an auxiliary profiling plate, a spring, an angle sensor, and a four-link transmission mechanism. Firstly, the geometric and mechanical models were established to determine the key parameters. Next, a quadratic regression universal rotary combination test was designed to optimize the key design parameters of the profiling mechanism. Among them, the test indexes were taken as the supporting force of header to the auxiliary profiling plate, the supporting force of soil to the main profiling plate, and the soil subsidence distance, whereas, the test factors were the spring stiffness coefficient, the initial length of spring, the weight of auxiliary and main profiling plate. A particle swarm optimization was selected to determine the level range of each factor. A multi-body dynamics and discrete element method (MBD-DEM) coupling was utilized to implement the optimization test for the MBD-DEM models of the main-subplate pressing profiling mechanism. A mathematical regression model was then established between each factor and index. It was found that the stiffness coefficient and the initial length of spring were the main influencing factors in the three response indexes. At the same time, a multi-objective comprehensive optimization was performed on various factors. The optimization goal was to make the supporting force of the header to auxiliary profiling plate as large as possible, whereas, the supporting force of soil to main profiling plate and the soil subsidence distance as small as possible. An optimal parameter combination was achieved as follows: the spring stiffness coefficient was 464 N/m, the initial length of the spring was 0.09 m, the length values of auxiliary and main profiling plate were 484, and 450 mm, respectively. The width values of the main and auxiliary profiling plates were 200 mm, and the material was 301 stainless steel. The spring material was carbon spring steel wire, where the wire and outer diameters were 2, and 20 mm, respectively, and the number of effective coils was 45. The field experiment results showed that the supporting forces of the header to the auxiliary profiling plate were all greater than 0 in the three repeated tests, indicating that the profiling mechanism was always in a normal working state. The average values for the supporting force of soil to the main profiling plate were 85.23, 85.80, and 86.08 N, respectively, which were basically consistent with the predicted values of the regression model, indicating that the profiling mechanism was sensitive to terrain changes. The average values of soil subsidence distance were 5.4, 7.1, and 6.4 mm, respectively, which were less than 10 mm, indicating the high accuracy of field terrain profiling. Consequently, the field experimental data was better consistent with the predicted values of the optimization model, indicating the reasonable parameter design of the profiling mechanism. Anyway, the reliable main-subplate pressing profiling mechanism can fully meet the requirements of soybean harvesting. The finding can also provide a strong reference for the profiling system of header in the combine harvester.

       

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