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Simulation Parameter Calibration and Experimental Study of a Discrete Element Model of Cotton Precision Seed Metering

Author

Listed:
  • Shenghe Bai

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Yanwei Yuan

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Kang Niu

    (The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Liming Zhou

    (The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Bo Zhao

    (The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Liguo Wei

    (The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Lijing Liu

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Shi Xiong

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Zenglu Shi

    (College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China)

  • Yihua Ma

    (The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Yuankun Zheng

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

  • Gaoyong Xing

    (College of Engineering, China Agricultural University, Beijing 100083, China
    The State Key Laboratory of Soil, Plant and Machine System Technology, Beijing 100083, China)

Abstract

To improve the accuracy of the parameters used in the discrete element simulation test, this study calibrated the simulation parameters of cotton seeds by combining a physical test and simulation test. Based on the intrinsic parameters used for the physical test of cotton seed, according to the freefall collision method, inclined plane sliding method, and inclined plane rolling method, the contact parameters of cotton seeds and cotton seeds, stainless steel, and nylon were measured, respectively. The physical test of the accumulation angle and angle of repose of the cotton seeds was conducted. It was obtained to process the image of the seed pile with Matrix Laboratory software. The Plackett–Burman test was used to screen the significance of the simulation parameters. The optimal value range of the significant parameters was determined according to the steepest climbing test. The second-order regression model of the significant parameters, the stacking-angle error, and the angle-of-repose error were obtained according to the Box–Behnken design test. Taking the minimum stacking-angle error and angle-of-repose error as the optimization target values, the following optimal parameter combination was obtained: the interspecies collision recovery coefficient was 0.413, the interspecies static friction coefficient was 0.695, and the interspecies rolling friction coefficient was 0.214. Three repetitive simulation experiments were conducted to prove the reliability of the calibration results. The research results can be used for discrete element simulation experiments for cotton precision seed metering.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:6:p:870-:d:840370
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    Citations

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    Cited by:

    1. Mirabela Augustina Pruteanu & Nicoleta Ungureanu & Valentin Vlăduț & Mihai-Gabriel Matache & Mihaela Niţu, 2023. "Contributions to the Optimization of the Medicinal Plant Sorting Process into Size Classes," Agriculture, MDPI, vol. 13(3), pages 1-19, March.
    2. 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.
    3. Bo Lu & Xiangdong Ni & Shufeng Li & Kezhi Li & Qingzheng Qi, 2022. "Simulation and Experimental Study of a Split High-Speed Precision Seeding System," Agriculture, MDPI, vol. 12(7), pages 1-22, July.

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