Optimization design of a double planet carrier planetary gear train transplanting mechanism based on an MBD–DEM simulation of potted plant movement

IF 7.7 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-03-02 DOI:10.1016/j.compag.2025.110141
Xingxiao Ma , Chennan Yu , Lihui Wang , Xiaowei Zhang , Jianneng Chen , Xiong Zhao
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Abstract

To design a simple and efficient flower transplanting mechanism, a thorough analysis of the potted plant cultivation process was conducted, and methods for designing the mechanism based on the posture constraints during the seedling retrieval and planting phases were investigated. A multidegree-of-freedom-driven virtual end-effector system was constructed. On the basis of the MBD-DEM analysis of the planting process for potted plants, a comparative analysis was conducted on the planting effects of the ordinary shovel, V-shaped shovel blades, and the bionic shovel under the same motion parameters. The bionic shovel was chosen as the structural form of the end-effector. Through parameter simulation optimization analysis of four factors, namely, the attitude angle of the end effector at the entry point into the soil and at the deepest planting point, the length of the hole, and the lateral planting distance, a set of motion parameters for the end effector was subsequently determined. This set of motion parameters was then translated into kinematic parameters for mechanism design; specifically, the length of the hole was 40 mm, the planting depth was 55 mm, the attitude angles of the seedling needle fixed at the entry point into the soil and at the deepest planting point were 130° and 82°, respectively, and the lateral planting distance was 8.6 mm. These parameters serve as the basis for the mechanism design posture. On the basis of the characteristics of a single-row two-stage noncircular gear transmission set, a design method for the double planetary gear train transplanting mechanism was proposed to address mixed postures. This method involves variables such as the rotation angle of the sun gear, the rotation angle of the middle gear, the length of each rack and the initial installation angle of each rack. The objective is to minimize the deviation between the actual position and the target position of the end-effector while ensuring the transmission performance of the noncircular gearset. The motion parameters obtained from the simulation results were converted into kinematic parameters for mechanism design, completing the design of the flower transplanting mechanism. A potted plant cultivation test bench was constructed, and potted plant cultivation experiments were conducted. The average planting rate reached 85.94 %, validating the effectiveness of the planting motion analysis results based on virtual simulation technology. These results demonstrate the practicality of the designed flower transplanting mechanism.
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为了设计一种简单高效的花卉移植机构,我们对盆栽植物的栽培过程进行了深入分析,并研究了基于秧苗回收和种植阶段的姿势约束设计机构的方法。构建了一个多自由度驱动的虚拟末端执行器系统。在对盆栽植物种植过程进行 MBD-DEM 分析的基础上,对相同运动参数下普通铲、V 型铲叶和仿生铲的种植效果进行了对比分析。仿生铲被选作末端执行器的结构形式。通过对末端执行器入土点和最深种植点的姿态角、穴的长度和横向种植距离这四个因素进行参数模拟优化分析,确定了末端执行器的运动参数集。这组运动参数被转化为机构设计所需的运动学参数;具体而言,穴长为 40 毫米,种植深度为 55 毫米,秧针在入土点和最深种植点的固定姿态角分别为 130°和 82°,横向种植距离为 8.6 毫米。这些参数是机构设计姿势的基础。根据单行双级非圆齿轮传动装置的特点,提出了一种双行星齿轮传动插秧机构的设计方法,以解决混合姿态问题。该方法涉及太阳齿轮旋转角度、中间齿轮旋转角度、各齿条长度和各齿条初始安装角度等变量。其目标是在确保非圆形齿轮组传动性能的同时,尽量减小末端执行器实际位置与目标位置之间的偏差。将模拟结果得到的运动参数转换为机构设计所需的运动学参数,完成了花卉移植机构的设计。构建了盆栽栽培试验台,并进行了盆栽栽培实验。平均种植率达到 85.94%,验证了基于虚拟仿真技术的种植运动分析结果的有效性。这些结果证明了所设计的花卉移植机构的实用性。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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