드라이브 ㆍ 컨트롤 (Journal of Drive and Control)

  • 제20권4호
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  • Pages.71-79
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  • 2023
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  • 2671-7972(pISSN)
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  • 2671-7980(eISSN)
유공압건설기계학회 (The Korean Society for Fluid Power and Construction Equipment)
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이산요소법을 활용한 점성토 환경에서의 작업 속도에 따른 몰드보드 플라우 견인력 예측

Prediction of Draft Force of Moldboard Plow according to Travel Speed in Cohesive Soil using Discrete Element Method

  • 배보민 ;
  • 정대위 ;
  • 류동형 ;
  • 안장현 ;
  • 최세오 ;
  • 김연수 ;
  • 김용주
  • Bo Min Bae (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Dae Wi Jung (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Dong Hyung Ryu (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) ;
  • Yeon Soo Kim (Department of Bio-Industrial Machinery Engineering, Pusan National University) ;
  • Yong Joo Kim (Department of Smart Agriculture Systems, Chungnam National University)
  • 투고 : 2023.09.18
  • 심사 : 2023.11.27
  • 발행 : 2023.12.01
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초록

In the field of agricultural machinery, various on-field tests are conducted to measure design load for optimal design of agricultural equipment. However, field test procedures are costly and time-consuming, and there are many constraints on field soil conditions due to weather, so research on utilizing simulation to overcome these shortcomings is needed. Therefore, this study aimed to model agricultural soils using discrete element method (DEM) software. To simulate draft force, predictions are made according to travel speed and compared to field test results to validate the prediction accuracy. The measured soil properties are used for DEM modeling. In this study, the soil property measurement procedure was designed to measure the physical and mechanical properties. DEM soil model calibration was performed using a virtual vane shear test instead of the repose angle test. The DEM simulation results showed that the prediction accuracy of the draft force was within 4.8% (2.16~6.71%) when compared to the draft force measured by the field test. In addition, it was confirmed that the result was up to 72.51% more accurate than those obtained through theoretical methods for predicting draft force. This study provides useful information for the DEM soil modeling process that considers the working speed from the perspective of agricultural machinery research and it is expected to be utilized in agricultural machinery design research.

키워드

과제정보

본 결과물은 농림축산식품부의 재원으로 농림식품기술기획평가원의 국제협력기반 수출농업경쟁력강화 기술개발사업의 지원을 받아 연구되었음(RS-2023-00233191)

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