径向大行程自适应香蕉不同茎径连续机械收获末端执行器的研制与田间评价

IF 5.2 2区 计算机科学 Q2 ROBOTICS
Jie Guo, Zhou Yang, Yufei Liu, Xiongzhe Han, Zichen Huang, Wenkai Zhang, Jieli Duan, Yong He
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引用次数: 0

摘要

目前,香蕉采收后的操作普遍依赖于体力劳动,农业人口老龄化严重,特别是在丘陵和山区。针对上述问题,开展了基于自动进料系统的香蕉机械化脱手关键技术研究,并对脱手刀具进行了有限元分析和运动特性分析。对脱手切削齿的静力分析表明,最大应力远小于极限应力。因此,在香蕉去手过程中不会发生永久性变形,也不会损坏去手刀具。在有限元分析和运动学特性分析的基础上,利用香蕉脱手机构进行了自适应脱手性能和脱手性能的实验研究。自适应仿形实验结果表明,对直径为60 mm、70 mm、80 mm和90 mm的圆柱,脱环刀的实际仿形精度分别为80.80%、80.99%、80.90%和82.61%。与理论剖面精度的偏差分别为3.73%、3.54%、3.63%和1.92%。为了评价去处理机制,我们选择去处理成功率、切口质量和自适应剖面效果作为指标。从去处理实验中发现,平均去处理成功率为77.63%,切口质量平均等级为7.61,自适应轮廓效果平均等级为7.70。仿真分析和实验研究结果表明,该脱手机构具有良好的稳定性和可靠性,能够满足田间香蕉脱手的需要。与以往报道的去柄刀具相比,本研究提出的去柄刀具对香蕉茎秆直径具有更好的剖形和包络能力,首次完全实现了机械刀具对整个茎秆的自适应剖形,对不同直径的香蕉果实去柄具有重要的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Field Evaluation of a Radial Large-Stroke Adaptive End-Effector for Continuous Robotic Harvesting of Banana Fruits at Different Stalk Diameters

Currently, banana post-harvesting operations generally rely on manual labor, and the farming population is aging seriously, especially in hilly and mountain areas. To address these issues, the study on key technologies for mechanized banana de-handing based on an automatic feeding system was carried out, and the finite element analysis (FEA) and kinematic characteristic analysis on the de-handing cutters were conducted. The static analysis of de-handing cutters showed that the maximum stress is much smaller than the ultimate stress. Therefore, there will be no permanent deformation and no damages to de-handing cutters during the banana de-handing process. Based on the findings from FEA and kinematic characteristic analysis, the experiments to assess the self-adaptive profiling performance and de-handing performance were carried out by using the banana de-handing mechanism. The results of self-adapting profiling experiment showed that the actual profiling accuracies of the ring de-handing cutters on cylinders with diameters of 60 mm, 70 mm, 80 mm, and 90 mm were 80.80%, 80.99%, 80.90%, and 82.61%, respectively. The deviations from the corresponding theoretical profiling accuracies were 3.73%, 3.54%, 3.63%, and 1.92%, respectively. To evaluate the de-handing mechanism, the de-handing success rate, incision quality, and self-adaptive profiling effect were selected as indicators. From the de-handing experiments, it was found that the average de-handing success rate was 77.63%, the average grade of incision quality was 7.61, and the average grade of self-adaptive profiling effect was 7.70. The results of the simulation analysis and experimental study showed that the de-handing mechanism has a great stability and reliability and can meet the banana de-handing needs in the field. Compared with the de-handing cutters reported previously, the cutter proposed in this study has better profiling and enveloping capabilities for the diameter of the banana stalk, and for the first time, completely realizes the adaptive profiling of the entire stalk by the mechanical cutter, which has significant practical value for de-handing banana fruits from stalks of different diameters.

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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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