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Review of Material Parameter Calibration Method

Author

Listed:
  • Weiquan Fang

    (School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xinzhong Wang

    (School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Dianlei Han

    (School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China)

  • Xuegeng Chen

    (School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China)

Abstract

The discrete element method and simulation analysis of the interaction between granular materials and implements provide a convenient and effective method for the optimal design of farming machinery. However, the parameter differences between different materials make discrete element simulation impossible to carry out directly. It is necessary to obtain the specific material parameters and contact parameters through parameter calibration of the simulation object, so as to make the simulation results more reliable. Parameter calibration mainly includes intrinsic parameter measurement, contact model selection, contact parameter selection, and parameter calibration. The test methods of the calibration test include the Plackett–Burman test and other methods of screening parameters with significant influence, and then selecting the optimal parameters through the climbing test, response surface analysis method, etc., and finally carrying out the regression analysis. This paper will describe the existing parameter measurement methods and parameter calibration methods and provide a reference for the scholars who study parameter calibration to carry out parameter calibration.

Suggested Citation

  • Weiquan Fang & Xinzhong Wang & Dianlei Han & Xuegeng Chen, 2022. "Review of Material Parameter Calibration Method," Agriculture, MDPI, vol. 12(5), pages 1-17, May.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:706-:d:817543
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    References listed on IDEAS

    as
    1. 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.
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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. Adilet Sugirbay & Guang-Rui Hu & Jun Chen & Zhasulan Mustafin & Marat Muratkhan & Ruslan Iskakov & Yu Chen & Shuo Zhang & Lingxin Bu & Yerassyl Dulatbay & Bauyrzhan Mukhamed, 2022. "A Study on the Calibration of Wheat Seed Interaction Properties Based on the Discrete Element Method," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    3. 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.
    4. Yuyao Li & Jiali Fan & Zhichao Hu & Weiwen Luo & Hongguang Yang & Lili Shi & Feng Wu, 2022. "Calibration of Discrete Element Model Parameters of Soil around Tubers during Potato Harvesting Period," Agriculture, MDPI, vol. 12(9), pages 1-16, September.
    5. 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.

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