Journal of Drive and Control (드라이브 ㆍ 컨트롤)

The Korean Society for Fluid Power and Construction Equipment (유공압건설기계학회)
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Prediction of PTO Power Requirements according to Surface energy during Rotary Tillage using DEM-MBD Coupling Model

이산요소법-다물체동역학 연성해석 모델을 활용한 로타리 경운작업 시 표면 에너지에 따른 PTO 소요동력 예측

  • 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 : 2024.04.09
  • Accepted : 2024.05.17
  • Published : 2024.06.01
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Abstract

In this study, we predicted PTO power requirements based on torque predicted by the discrete element method and the multi-body dynamics coupling method. Six different scenarios were simulated to predict PTO power requirements in different soil conditions. The first scenario was a tillage operation on cohesionless soil, and the field was modeled using the Hertz-Mindlin contact model. In the second through sixth scenarios, tillage operations were performed on viscous soils, and the field was represented by the Hertz-Mindlin + JKR model for cohesion. To check the influence of surface energy, a parameter to reproduce cohesion, on the power requirement, a simple regression analysis was performed. The significance and appropriateness of the regression model were checked and found to be acceptable. The study findings are expected to be used in design optimization studies of agricultural machinery by predicting power requirements using the discrete element method and the multi-body dynamics coupling method and analyzing the effect of soil cohesion on the power requirement.

Keywords

Acknowledgement

본 연구는 농림축산식품부의 재원으로 농림식품기술기획평가원의 밭농업기계화촉진기술개발사업(RS-2023-00236042)의 연구비와 2023학년도 부산대학교 신임교수연구정착금 지원으로 이루어졌음

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