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Parameter Calibration of Discrete Element Model for Cotton Rootstalk–Soil Mixture at Harvest Stage in Xinjiang Cotton Field

Author

Listed:
  • Deli Jiang

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China)

  • Xuegeng Chen

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832000, China)

  • Limin Yan

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832000, China)

  • Haixiao Gou

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Northwest Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Shihezi 832000, China)

  • Jiacheng Yang

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China)

  • Ying Li

    (College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China)

Abstract

Due to the lack of accurate discrete element simulation model parameters in the design optimization process of key agricultural machinery components in the whole mechanization technology system of cotton generation, the optimization and improvement of the machine is restricted to a certain extent. Taking a cotton rootstalk–soil mixture at harvest stage in a Xinjiang cotton field as the research object, the discrete element simulation model of a cotton rootstalk–soil mixture was constructed, and the contact parameters of discrete element simulation were calibrated by combining simulation analysis with a physical test. The discrete element significant-influence parameters of cotton rootstalk–soil mixture were screened by Placket–Burman test, and the optimal range of significant-influence parameters was determined by the steepest climbing test. According to the principle of Box–Behnken test, the quadratic regression model of repose angle and significant parameters was established with repose angle as the response value. Taking the actual repose angle as the target, the Design-Expert software was used to optimize the parameters with significant influence and obtain the optimal combination of parameters. The optimal parameter combination was compared and verified by simulation experiments. The relative error between the simulated repose angle and the physical test was 2.36%. The results showed that the calibrated parameters were true and reliable, which could provide a theoretical reference for the discrete element simulation of cotton rootstalk–soil mixture in a Xinjiang cotton field.

Suggested Citation

  • Deli Jiang & Xuegeng Chen & Limin Yan & Haixiao Gou & Jiacheng Yang & Ying Li, 2023. "Parameter Calibration of Discrete Element Model for Cotton Rootstalk–Soil Mixture at Harvest Stage in Xinjiang Cotton Field," Agriculture, MDPI, vol. 13(7), pages 1-17, July.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:7:p:1344-:d:1185788
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    References listed on IDEAS

    as
    1. Weiquan Fang & Xinzhong Wang & Dianlei Han & Xuegeng Chen, 2022. "Review of Material Parameter Calibration Method," Agriculture, MDPI, vol. 12(5), pages 1-17, May.
    2. Peng Wang & Xuegeng Chen & Haojun Wen, 2022. "Research and Experiment on the Removal Mechanism of Light Impurities of the Residual Mulch Film Recovery Machine," Agriculture, MDPI, vol. 12(6), pages 1-16, May.
    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. Bingcheng Zhang & Xuegeng Chen & Rongqing Liang & Xinzhong Wang & Hewei Meng & Za Kan, 2022. "Calibration and Test of Contact Parameters between Chopped Cotton Stalks Using Response Surface Methodology," Agriculture, MDPI, vol. 12(11), pages 1-17, November.
    5. Bingcheng Zhang & Rongqing Liang & Jiali Li & Yaping Li & Hewei Meng & Za Kan, 2022. "Test and Analysis on Friction Characteristics of Major Cotton Stalk Cultivars in Xinjiang," Agriculture, MDPI, vol. 12(7), pages 1-13, June.
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    Cited by:

    1. Yichao Wang & Jiaxi Zhang & Yanjun Huo & Zhenwei Wang & Jinming Li & Zhenkun Li, 2024. "Comparison and Experimental Study of Cotton Stalk Extraction via Nip Roller Based on Nip Motion Trajectory Equation," Agriculture, MDPI, vol. 14(6), pages 1-17, June.
    2. Yichao Wang & Jiaxi Zhang & Shilong Shen & Jinming Li & Yanjun Huo & Zhenwei Wang, 2024. "The Mechanical Analysis and Comparative Performance Test of the Roller-Type Pulling Mechanism for the Whole Cotton Stalk Pulling Machine," Agriculture, MDPI, vol. 14(3), pages 1-14, March.

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