Li Hanqing, Ling Lin, Wen Changkai, Liu Huaiyu, Wu Guangwei, An Xiaofei, Meng Zhijun, Yan Bingxin
Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
School of Electrical and Information, Northeast Agricultural University, Harbin, China.
Front Plant Sci. 2023 Jul 6;14:1183624. doi: 10.3389/fpls.2023.1183624. eCollection 2023.
To improve the mechanization level of rice planting, a new type of direct seeding device for rice was designed. The device's structural properties will be crucial in determining its seeding performance. Structure optimization in the current seed metering device design process focuses on a single or few indexes, resulting in improved individual performance but imbalanced overall performance. Therefore, a structure optimization method of the direct seeding device based on a multi-index orthogonal experiment was proposed in this study.
First, the DEM-MBD coupling method observed the factors and levels that affected the performance overall. Second, a test platform based on the electric drive control model was constructed, and a multi-index orthogonal test was devised. Finally, the structural parameters of the seed metering devices were optimized based on matrix analysis.
From the results, the primary and secondary levels of significance of factors were just as follows: hole diameter > hole number > adjustment angle. The following are the optimal parameters found by optimization analysis: the diameter of the hole was 12 mm, the number of holes was 10, and the adjustment angle was 80°. Validation tests were carried out and analyzed based on the optimal structural parameter combination. The qualification rate of seeds per hole, empty hole rate, average seed number, coefficient of variation of seed number, average hole spacing, and the variance coefficient of hole spacing are 93.07%, 0%, 9.39,14.04%, 22.84 cm, and 9.14%, respectively.
In comparison to traditional design and structural parameter optimization methods for rice precision seed metering device, this study not just to provides an optimization scheme for improving the overall performance of rice precision seed metering device, but also serves as a technical reference for the development and design of new rice precision seed metering device.
为提高水稻种植机械化水平,设计了一种新型水稻直播装置。该装置的结构特性对其播种性能起关键作用。当前排种器设计过程中的结构优化侧重于单一或少数指标,导致个体性能提升但整体性能不均衡。因此,本研究提出了一种基于多指标正交试验的直播装置结构优化方法。
首先,采用离散元-多体动力学耦合方法观测影响整体性能的因素和水平。其次,构建基于电驱动控制模型的试验平台,并设计多指标正交试验。最后,基于矩阵分析对排种器结构参数进行优化。
结果表明,各因素显著性主次顺序为:孔径>孔数>调节角度。优化分析得到的最优参数为:孔径12mm、孔数10个、调节角度80°。基于最优结构参数组合进行验证试验并分析,每孔种子合格率、空穴率、平均种子数、种子数变异系数、平均孔间距、孔间距变异系数分别为93.07%、0%、9.39、14.04%、22.84cm、9.14%。
与传统水稻精密排种器设计及结构参数优化方法相比,本研究不仅为提高水稻精密排种器整体性能提供了优化方案,也为新型水稻精密排种器的开发设计提供了技术参考。