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Parameter Calibration of Cabbages ( Brassica oleracea L.) Based on the Discrete Element Method

Author

Listed:
  • Jinming Zheng

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Lin Wang

    (State Key Laboratory of Power System of Tractor, Luoyang 471039, China)

  • Xiaochan Wang

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Yinyan Shi

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Zhenyu Yang

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

Abstract

The discrete element parameters of cabbages ( Brassica oleracea L.) were calibrated for the design and parameter optimization of a cabbage harvester. The cabbage model was created based on the study of cabbage material characteristics and the simulation model parameters of cabbage were calibrated. The intrinsic parameters and partial contact parameters of cabbages were obtained by direct measurement. The cabbage accumulation angle was determined by a plate drawing test. Through the steepest ascent test and the orthogonal rotation combination test, a regression model of the cabbage accumulation angle error was established. The optimal contact parameters between the cabbages were obtained by the minimum error modeling. These calibrated parameters were applied in the verification test, and the results indicated that the error between the simulated and measured values of the cabbage accumulation angle was only 1.63%, which demonstrated that the results were dependable. This study can provide a theoretical support for designing and optimizing the parameters of cabbage harvesting machines with the discrete element method (DEM).

Suggested Citation

  • Jinming Zheng & Lin Wang & Xiaochan Wang & Yinyan Shi & Zhenyu Yang, 2023. "Parameter Calibration of Cabbages ( Brassica oleracea L.) Based on the Discrete Element Method," Agriculture, MDPI, vol. 13(3), pages 1-17, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:555-:d:1079775
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    References listed on IDEAS

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    1. Shenghe Bai & Yanwei Yuan & Kang Niu & Liming Zhou & Bo Zhao & Liguo Wei & Lijing Liu & Shi Xiong & Zenglu Shi & Yihua Ma & Yuankun Zheng & Gaoyong Xing, 2022. "Simulation Parameter Calibration and Experimental Study of a Discrete Element Model of Cotton Precision Seed Metering," Agriculture, MDPI, vol. 12(6), pages 1-20, June.
    2. Jianfei Zhang & Guangqiao Cao & Yue Jin & Wenyu Tong & Ying Zhao & Zhiyu Song, 2022. "Parameter Optimization and Testing of a Self-Propelled Combine Cabbage Harvester," Agriculture, MDPI, vol. 12(10), pages 1-19, October.
    3. Sugirbay Adilet & Jian Zhao & Nukeshev Sayakhat & Jun Chen & Zagainov Nikolay & Lingxin Bu & Zhanar Sugirbayeva & Guangrui Hu & Muratkhan Marat & Zhiwei Wang, 2021. "Calibration Strategy to Determine the Interaction Properties of Fertilizer Particles Using Two Laboratory Tests and DEM," Agriculture, MDPI, vol. 11(7), pages 1-19, June.
    4. Mohamed Ibrahim El Didamony & Ahmed Mohamed El Shal, 2020. "Fabrication and Evaluation of a Cabbage Harvester Prototype," Agriculture, MDPI, vol. 10(12), pages 1-11, December.
    5. 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. 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.
    2. Dongdong Li & Rongyang Wang & Yingpeng Zhu & Jianneng Chen & Guofeng Zhang & Chuanyu Wu, 2024. "Calibration of Simulation Parameters for Fresh Tea Leaves Based on the Discrete Element Method," Agriculture, MDPI, vol. 14(1), pages 1-14, January.
    3. Baocheng Zhou & Xin Su & Hongjun Yu & Wentian Guo & Qing Zhang, 2023. "Research on Path Tracking of Articulated Steering Tractor Based on Modified Model Predictive Control," Agriculture, MDPI, vol. 13(4), pages 1-21, April.

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