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切割器作为芦蒿收获机的重要工作部件,其切割性能直接影响作物的收获质量和后续输送效果。采用虚拟样机设计方法,对自走式芦蒿有序收获机中往复式切割器的结构参数和芦蒿茎秆的物理参数进行研究,建立了切割部件的三维实体模型和茎秆的柔性简化模型,并进行刚柔耦合动力学仿真分析。以切割系统的切割速度vg、切割角度α和前进速度vm为影响因素,选取切割器对茎秆切割力F和重割率γ为评价指标,设计了三因素三水平虚拟正交试验,运用统计学软件进行响应面回归分析和方差分析,并进行田间试验验证。结果表明,响应面模型(RSM)优化组合vg=1.6 m/s,α=15°,vm=1.0 m/s时,F、γ明显降低,割茬质量最好,与试验结果相比,切割力误差小于10.9%、重割率误差小于11.3%。分析结果验证了预测模型的有效性和准确性,表明所设计的往复式切割器满足对芦蒿的有序收获要求。
Cutter as an important part of the harvesting machine Artemisia, the cutting performance of a direct impact on the crop harvesting quality and follow-up delivery. Using the virtual prototype design method, the structural parameters of the reciprocating cutter and the physical parameters of the stem of Artemisia selengensis were studied, and the three-dimensional solid model of the cutting part and the flexible simplified model of the stem , And rigid-flexible coupling dynamics simulation analysis. Taking cutting speed (vg), cutting angle (α) and speed (vm) as the influential factors, the cutter cutting force F and the weight-cut ratio γ were selected as evaluation indexes, and a three-factor and three-level virtual orthogonal test was designed. Learning software response surface regression analysis and analysis of variance, and field experiments. The results showed that when the response surface model (RSM) optimized combination of vg = 1.6 m / s, α = 15 ° and vm = 1.0 m / s, F and γ obviously decreased and the quality of cutting was the best. Compared with the experimental results, The force error is less than 10.9% and the weight error is less than 11.3%. The results of the analysis validated the validity and accuracy of the prediction model, indicating that the designed reciprocating cutter satisfied the orderly harvest of Artemisia selengensis.