基于ANSYS/Ls-Dyna的甘蔗收获机切割系统功耗模型研究

doi:10.13733/j.jcam.issn.20955553.2022.09.016

摘要/Abstract

摘要： 对甘蔗茎秆切割系统的功耗研究有利于提高甘蔗收获机的切割性能及发动机功率的利用率。因此，为得到甘蔗切割装置在工作过程中的切割力及切割功率的变化情况，采用单元组合法并结合ANSYS/Ls-Dyna对收获机切割装置的切割过程进行数值模拟分析。以切割刀线速度、切割刀盘倾角及切割刀刃角为试验因素，以切割功率及切割力为试验指标进行单因素试验分析，确定切割试验因素的参数范围并进行仿真试验设计，同时选择最小切割功率为优化目标，得出其最佳的切割条件为切割刀线速度为38.8 m/s，刀盘倾角为11.66°，切割刀刃角为25°，在此条件下，甘蔗收获机切割装置切割蔗茎时所消耗的功率最小，其最小切割功率为0.80 kW。

关键词: 切割功率, 甘蔗收获机, 切割刀线速度, 刀盘倾角, 切割刀刃角

Abstract: Research on the power consumption of the sugarcane stalk cutting system is beneficial to improve the cutting performance of the sugarcane harvester and the utilization rate of the engine power. Therefore, in order to obtain the change of the cutting force and cutting power of the sugarcane cutting device in the working process, the article adopts the unit combination method and combined with ANSYS/Ls-Dyna to numerically simulate the cutting process of the harvester cutting device. The cutting blade linear speed, the cutting blade angle and the cutting edge angle are used as experimental factors, and the cutting power consumption and cutting force are used as the experimental indicators to conduct a singlefactor experimental analysis. The parameter range of the cutting experimental factors is determined and the simulation experiment design is carried out at the same time. The minimum power consumption is the optimization goal, and the best cutting conditions are that the speed of the contact point of the cutting knife and the cane stem is 38.8 m/s, the cutter head angle is 11.66°, and the blade angle is 25°. The cutting device of sugarcane harvester consumes the least power when cutting sugarcane stems, and its minimum power is 0.80 kW.

Key words: cutting power, sugarcane harvester, cutter linear speed, cutter head inclination, cutting edge angle

中图分类号:

S233.4

肖威, 陆静平, 邓朝阳, 林泽锋. 基于ANSYS/Ls-Dyna的甘蔗收获机切割系统功耗模型研究[J]. 中国农机化学报, 2022, 43(9): 116-121.

Xiao Wei, Lu Jingping, Deng Chaoyang, Lin Zefeng. . Research on power consumption model of sugarcane harvester cutting system based on ANSYS/Ls-Dyna[J]. Journal of Chinese Agricultural Mechanization, 2022, 43(9): 116-121.

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