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Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening

Author

Listed:
  • Kojo Atta Aikins

    (Department of Agricultural and Biosystems Engineering, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana
    Centre for Agricultural Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

  • Mustafa Ucgul

    (Faculty of Science and Engineering, Southern Cross University, Lismore, NSW 2480, Australia
    Agricultural Machinery R&D Centre, STEM, University of South Australia, Adelaide, SA 5000, Australia)

  • James B. Barr

    (Seed Terminator, 23 Aldershot Rd., Lonsdale, SA 5160, Australia)

  • Emmanuel Awuah

    (College of Engineering, Nanjing Agricultural University, No. 40 Dianjiangtai, Pukou District, Nanjing 210095, China)

  • Diogenes L. Antille

    (Centre for Agricultural Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia
    CSIRO Agriculture and Food, Black Mountain Science and Innovation Precinct, Canberra, ACT 2601, Australia)

  • Troy A. Jensen

    (Centre for Agricultural Engineering, University of Southern Queensland, Toowoomba, QLD 4350, Australia)

  • Jacky M. A. Desbiolles

    (Agricultural Machinery R&D Centre, STEM, University of South Australia, Adelaide, SA 5000, Australia)

Abstract

In agricultural machinery design and optimization, the discrete element method (DEM) has played a major role due to its ability to speed up the design and manufacturing process by reducing multiple prototyping, testing, and evaluation under experimental conditions. In the field of soil dynamics, DEM has been mainly applied in the design and optimization of soil-engaging tools, especially tillage tools and furrow openers. This numerical method is able to capture the dynamic and bulk behaviour of soils and soil–tool interactions. This review focused on the various aspects of the application of DEM in the simulation of tillage and furrow opening for tool design optimization. Different contact models, particle sizes and shapes, and calibration techniques for determining input parameters for tillage and furrow opening research have been reviewed. Discrete element method predictions of furrow profiles, disturbed soil surface profiles, soil failure, loosening, disturbance parameters, reaction forces, and the various types of soils modelled with DEM have also been highlighted. This pool of information consolidates existing working approaches used in prior studies and helps to identify knowledge gaps which, if addressed, will advance the current soil dynamics modelling capability.

Suggested Citation

  • Kojo Atta Aikins & Mustafa Ucgul & James B. Barr & Emmanuel Awuah & Diogenes L. Antille & Troy A. Jensen & Jacky M. A. Desbiolles, 2023. "Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening," Agriculture, MDPI, vol. 13(3), pages 1-29, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:541-:d:1078440
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    References listed on IDEAS

    as
    1. Yiqing Qiu & Zhijun Guo & Xin Jin & Pangang Zhang & Shengjie Si & Fugui Guo, 2022. "Calibration and Verification Test of Cinnamon Soil Simulation Parameters Based on Discrete Element Method," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
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    Cited by:

    1. Mustafa Ucgul & Chung-Liang Chang, 2023. "Design and Application of Agricultural Equipment in Tillage Systems," Agriculture, MDPI, vol. 13(4), pages 1-3, March.
    2. Hao Zhou & Kangtai Li & Zhiyu Qin & Shengsheng Wang & Xuezhen Wang & Fengyun Sun, 2024. "Discrete Element Model of Oil Peony Seeds and the Calibration of Its Parameters," Agriculture, MDPI, vol. 14(7), pages 1-13, July.
    3. Weiwen Luo & Xulei Chen & Kai Guo & Mingyang Qin & Feng Wu & Fengwei Gu & Zhichao Hu, 2023. "Optimization and Accuracy Analysis of a Soil–Planter Model during the Sowing Period of Wheat after a Rice Stubble Based Discrete Element Method," Agriculture, MDPI, vol. 13(10), pages 1-16, October.
    4. Bo-Min Bae & Yeon-Soo Kim & Wan-Soo Kim & Yong-Joo Kim & Sang-Dae Lee & Taek-Jin Kim, 2023. "The Development of a Draft Force Prediction Model for Agricultural Tractors Based on the Discrete Element Method in Loam and Clay Loam," Agriculture, MDPI, vol. 13(12), pages 1-17, November.
    5. Xiaoming Jin & Fangping Ma & Di Wang & Zhengtao Zhu, 2023. "Simulation of Mouldboard Plough Soil Cutting Based on Smooth Particle Hydrodynamics Method and FEM–SPH Coupling Method," Agriculture, MDPI, vol. 13(9), pages 1-18, September.
    6. Long Wang & Jianfei Xing & Xiaowei He & Xin Li & Wensong Guo & Xufeng Wang & Shulin Hou, 2023. "Study on the Mechanism of Motion Interaction between Soil and a Bionic Hole-Forming Device," Agriculture, MDPI, vol. 13(7), pages 1-18, July.
    7. Zhenwei Tong & Hongwen Li & Jin He & Qingjie Wang & Caiyun Lu & Chao Wang & Guangyuan Zhong & Dandan Cui & Dengkun Li, 2023. "Design and Experiment of In Situ Soil-Lifting Shovel for Direct-Injection Straw Deep-Burial Machine," Agriculture, MDPI, vol. 13(9), pages 1-19, August.
    8. Kehong Yan & Shuai Yao & Yicheng Huang & Zhan Zhao, 2023. "Study on Pulling Dynamic Characteristics of White Radish and the Optimal Design of a Harvesting Device," Agriculture, MDPI, vol. 13(5), pages 1-14, April.
    9. Emmanuel Awuah & Kojo Atta Aikins & Diogenes L. Antille & Jun Zhou & Bertrand Vigninou Gbenontin & Peter Mecha & Zian Liang, 2023. "Discrete Element Method Simulation and Field Evaluation of a Vibrating Root-Tuber Shovel in Cohesive and Frictional Soils," Agriculture, MDPI, vol. 13(8), pages 1-22, July.

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