Journal of Drive and Control (드라이브 ㆍ 컨트롤)

The Korean Society for Fluid Power and Construction Equipment (유공압건설기계학회)
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Simulation study on draft force prediction of moldboard plow according to cohesive soil particle size using the discrete element method

이산요소법을 활용한 점성토 환경에서의 토양 입자 크기에 따른 몰드보드 플라우 견인력 예측 시뮬레이션

  • Min Seung Kim (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Bo Min Bae (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Dae Wi Jung (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Jang Hyeon An (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Se O Choi (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Sang Hyeon Lee (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Si Won Sung (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Yeon Soo Kim (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Yong Joo Kim (Department of Smart Agriculture Systems, Chungnam National University)
  • Received : 2024.08.12
  • Accepted : 2024.08.26
  • Published : 2024.09.01
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Abstract

In the agricultural machinery field, load analysis is mostly done through field tests. However, field tests are time-consuming and costly. There are also limitations in test conditions due to weather conditions. To overcome these environmental limitations, research on load analysis through simulation in a virtual environment is actively being conducted. This study aimed to select the most appropriate soil particle size for modeling by analyzing the effect of soil particle size on the prediction of draft force of the implement using simulation and soil particle modeling in a virtual environment with the discrete element method (DEM) software. The accuracy was verified by simulating the draft force for the same moving speed by soil particle size. For soil particle modeling, DEM soil modeling was performed by designing soil property measurement procedure. Soil particle correction was performed with a virtual vane shear test. Average DEM simulation results showed an error of 27.39% (19.43~40.66%) compared to actual measured data. The possibility of improvement was confirmed through additional research. Results of this study provide useful information for selecting soil particle size in soil modeling using DEM from the perspective of agricultural machinery research.

Keywords

Acknowledgement

이 논문은 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음

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