Construction of a Soil Clods Recognition Bench-Scale Experiment for Discrete Element Method Modeling of Tilling Phenomena

Shuto Ishii, Isami Suto, Hiroaki Tabe, K. Nagato, Moju Zhao, Yoshifumi Ueshige, Takashi Iritani, M. Nakao
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Abstract

The development of rotary claws in tiller machines has been evaluated using actual equipment and analysis based on the discrete element method (DEM), which is an effective method for modeling the movement of granular materials. The required functions of the rotary claw are to break the soil into small pieces and plow the soil flat. However, evaluation by testing using actual equipment is difficult for precise measurements, and a considerable amount of time is required for one test. Additionally, DEM simulations have difficulty reproducing the soil behavior owing to the large number of parameters that determine their accuracy. Therefore, a comparison with the experimental results is necessary when determining DEM parameters. This research aims to develop a soil clod recognition method and an evaluation system for evaluating tractor performance. The evaluation system was designed to measure the soil shape before and after tilling with a 1/4-scale tillage claw. To capture the changes in the soil shape and distribution and size of the soil clods, we developed an image processing method. This method uses pointcloud data obtained from a depth camera to calculate the difference before and after tilling. The experimental parameters were the soil moisture content and claw rotation speed. Their effects on the formation and decomposition of the soil clods were evaluated. To confirm the feasibility of the results obtained from the proposed evaluation system, DEM simulations were performed under identical conditions to compare the distribution and size of the soil clods and changes in soil shape. The experimental results showed that the location, number, and size of scattered soil clods varied with the moisture content of the soil, and rotational speed of the claw. Based on the experimental results, a comparison was made with the results of the DEM analysis to clarify the differences between the two. The developed model experiment system for soil clods and the image processing method made it possible to quantitatively compare soil dispersal between the experiment and the DEM, which may accelerate the search for parameters for the DEM to reproduce the tilling.
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耕作现象离散元法建模土块识别台架试验的建立
基于离散元法(DEM),利用实际设备和分析对分蘖机旋转爪的发展进行了评价,该方法是模拟颗粒物料运动的有效方法。旋转爪所需的功能是将土壤破碎成小块,并将土壤犁平。然而,使用实际设备进行测试评估很难进行精确测量,而且一次测试需要相当多的时间。此外,由于决定其准确性的大量参数,DEM模拟难以再现土壤行为。因此,在确定DEM参数时,有必要与实验结果进行比较。本研究旨在开发一种用于拖拉机性能评价的土块识别方法和评价系统。采用1/4尺度耕作爪测量耕作前后土壤形态。为了捕捉土壤形状、分布和土块大小的变化,我们开发了一种图像处理方法。该方法使用深度相机获得的点云数据来计算耕作前后的差异。试验参数为土壤含水量和爪爪转速。评价了它们对土块形成和分解的影响。为了验证评价系统结果的可行性,在相同条件下进行了DEM模拟,比较了土块的分布和大小以及土壤形状的变化。实验结果表明,分散土块的位置、数量和大小随土壤含水量和爪转速的变化而变化。在实验结果的基础上,与DEM分析结果进行对比,明确两者的差异。所开发的土块模型实验系统和图像处理方法可以定量比较实验与DEM之间的土壤分散情况,从而加快DEM模拟耕作过程参数的寻找。
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