Impact of Structural Parameters on the Collision Characteristics and Coefficient of Restitution of Soybean Particles on Harvester’s Cleaning Screens

Q2 Agricultural and Biological Sciences Agriculture Pub Date : 2024-07-21 DOI:10.3390/agriculture14071201
Xiaohu Guo, Shiguo Wang, Shuren Chen, Bin Li, Zhong Tang, Yifan Hu
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Abstract

Inadequate parameter design of the cleaning device in soybean combine harvesters leads to elevated levels of machine harvesting losses and impurity rates. To provide fundamental data for the optimization of structural parameters of soybean cleaning sieves, it is of great significance to study the collision and bouncing characteristics of soybeans on the cleaning sieve surface and the impact of parameters on the coefficient of restitution (COR). The current study designed a collision platform, using soybeans at the harvest stage as the research subject. The experimental factors included drop height, wall inclination angle, wall movement speed, and wall material. Through single-factor experiments and orthogonal experiments, the effects of different collision parameters on the rebound trajectory and COR of soybeans were investigated. This study focuses on soybeans at the harvest stage as the test subjects. Experiments were conducted on a collision platform and recorded with a high-speed camera to capture the three-dimensional motion trajectories of the soybeans using the principle of specular reflection. Through single-factor experiments, the jumping characteristics of the soybeans on sieve surfaces with different motion characteristics were analyzed. The impact of drop height (400–650 mm), wall inclination angle (8–13°), wall movement speed (0.6–1.1 m/s), and wall material (stainless steel plates and polyurethane plates) on the coefficient of restitution (COR) was calculated and clarified. Multi-factor orthogonal experiments were conducted to determine the significance order of the different factors affecting the COR. Three-dimensional models of the soybeans and the collision platform were constructed using SolidWorks software, and the collision between the soybeans and the cleaning wall was simulated using EDEM software. The micro-forces and energy transfer during the soybean collision were analyzed. The results indicated that the COR of soybeans decreases as the drop height increases, but increases with wall inclination angle and wall movement speed. Additionally, the COR is higher when the soybeans collide with stainless steel plates compared to polyurethane plates. The order of influence of the four factors on the COR were: wall material > wall inclination angle > wall speed > drop height. This study provides important reference value for the efficient and low-loss design of cleaning devices.
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结构参数对收割机清选筛上大豆颗粒的碰撞特性和重置系数的影响
大豆联合收割机清选装置的参数设计不当会导致机收损失和杂质率上升。为了给大豆清选筛结构参数的优化提供基础数据,研究大豆在清选筛表面的碰撞和弹跳特性,以及各参数对其恢复系数(COR)的影响具有重要意义。本研究以收获阶段的大豆为研究对象,设计了一个碰撞平台。实验因素包括下落高度、筛壁倾角、筛壁运动速度和筛壁材料。通过单因素实验和正交实验,研究了不同碰撞参数对大豆反弹轨迹和 COR 的影响。本研究以收获期的大豆为测试对象。实验在碰撞平台上进行,并使用高速摄像机记录,利用镜面反射原理捕捉大豆的三维运动轨迹。通过单因素实验,分析了大豆在不同运动特性的筛面上的跳跃特性。计算并阐明了下落高度(400-650 毫米)、筛壁倾角(8-13°)、筛壁运动速度(0.6-1.1 米/秒)和筛壁材料(不锈钢板和聚氨酯板)对重力系数(COR)的影响。通过多因素正交实验确定了影响 COR 的不同因素的显著性顺序。使用 SolidWorks 软件构建了大豆和碰撞平台的三维模型,并使用 EDEM 软件模拟了大豆和清洁壁之间的碰撞。分析了大豆碰撞过程中的微力和能量传递。结果表明,大豆的 COR 值随着下落高度的增加而减小,但随着墙壁倾斜角度和墙壁移动速度的增加而增大。此外,与聚氨酯板相比,大豆与不锈钢板碰撞时的 COR 值更高。四个因素对 COR 的影响顺序为:墙壁材料 > 墙壁倾斜角 > 墙壁速度 > 落体高度。这项研究为高效、低损耗的清洁装置设计提供了重要的参考价值。
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来源期刊
Agriculture
Agriculture Agricultural and Biological Sciences-Horticulture
CiteScore
1.90
自引率
0.00%
发文量
4
审稿时长
11 weeks
期刊介绍: The Agriculture (Poľnohospodárstvo) is a peer-reviewed international journal that publishes mainly original research papers. The journal examines various aspects of research and is devoted to the publication of papers dealing with the following subjects: plant nutrition, protection, breeding, genetics and biotechnology, quality of plant products, grassland, mountain agriculture and environment, soil science and conservation, mechanization and economics of plant production and other spheres of plant science. Journal is published 4 times per year.
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