Parameter calibration of discrete element simulation model for <i>Panax</i> <i>notoginseng</i> planting soil

WANG Fa’an; ZENG Yue; ZHANG Zhaoguo; XIE Kaiting; LI Donghao; HE Zhongping

doi:10.7671/j.issn.1001-411X.202309042

Journal of South China Agricultural University > 2024 > 45(4): 588-597. > DOI: 10.7671/j.issn.1001-411X.202309042

WANG Fa’an, ZENG Yue, ZHANG Zhaoguo, et al. Parameter calibration of discrete element simulation model for Panax notoginseng planting soil[J]. Journal of South China Agricultural University, 2024, 45(4): 588-597. DOI: 10.7671/j.issn.1001-411X.202309042

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Parameter calibration of discrete element simulation model for Panax notoginseng planting soil

WANG Fa’an^{1, 2,},
ZENG Yue^{1, 2},
ZHANG Zhaoguo^{1, 2, ,},
XIE Kaiting^{2, 3},
LI Donghao^{2, 4},
HE Zhongping^{1, 2}

1.
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
2.
Research Center on Mechanization Engineering of Chinese Medicinal Materials in Yunnan Universities, Kunming 650500, China
3.
Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
4.
College of Engineering, South China Agricultural University, Guangzhou 510642, China

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Received Date: September 25, 2023
Available Online: May 19, 2024
Published Date: May 29, 2024

Graphical Abstract

Abstract

Abstract

Objective
To obtain the parameters of the discrete element simulation model for the interaction between Panax notoginseng planting soil and soil-engaging components.
Method
This paper established a discrete element model of P. notoginseng planting soil based on the Hertz-Mindlin with JKR contact model, and calibrated parameters. Firstly, the JKR surface energy, restitution coefficient, static friction coefficient and rolling friction coefficient between soil particles and soil-65Mn steel plate were used as experiments factors, and the soil repose angle and the rolling distance of soil on the 65Mn plate were used as evaluation indexes. Secondly, the regression model for soil repose angle and rolling distance was established through the response surface optimization method based on Box-Behnken.
Result
The regression model was optimized, and the optimal values of JKR surface energy, restitution coefficient, static friction coefficient and rolling friction coefficient between soil particles calibrated by simulation were 14.88 J/m², 0.53, 0.46 and 0.150, respectively. The calibrated optimal values of JKR surface energy, restitution coefficient, static friction coefficient and rolling friction coefficient between soil-65Mn steel plate were 7.02 J/m², 0.59, 0.57 and 0.058, respectively. Through the comparative analysis of the simulation test and the soil-bin test, the relative errors of the simulated and measured average resistance of the excavating shovel in the X and Y axis directions were 9.91% and 8.78%, respectively.
Conclusion
The calibrated discrete element soil model parameters have high accuracy, and the research can provide a theoretical reference for the optimization of the soil-engaging components and equipment of the P. notoginseng harvester.
- Panax notoginseng,
- Discrete element method,
- Parameter calibration,
- Repose angle,
- Johoson-Kendall-Roberts contact model

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References (28)

References

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