Calibration and Testing of Parameters for the Discrete Element Simulation of Soil Particles in Paddy Fields

Peizhao Zhong, Weiqing Jia, Wenwu Yang, Jianfei He, Erli Zhang, Dongyang Yu, Yuhang Xu, Jianpeng Chen, Feihu Peng, Guoxiang Zeng, Chen Zhang, Shiqi Zeng, Bo Gao, Haihai Pei and Zaiman Wang ()
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Peizhao Zhong: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Weiqing Jia: College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou 510642, China
Wenwu Yang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Jianfei He: Basic Experiment and Practical Training Center, South China Agricultural University, Guangzhou 510642, China
Erli Zhang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Dongyang Yu: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Yuhang Xu: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Jianpeng Chen: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Feihu Peng: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Guoxiang Zeng: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Chen Zhang: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Shiqi Zeng: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Bo Gao: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Haihai Pei: College of Engineering, South China Agricultural University, Guangzhou 510642, China
Zaiman Wang: College of Engineering, South China Agricultural University, Guangzhou 510642, China

Agriculture, 2024, vol. 14, issue 1, 1-15

Abstract: The parameters of the discrete element simulation model for rice field soils serve as valuable data references for investigating the dynamic characteristics of the walking wheel of high-speed precision seeding machinery in paddy fields. The research specifically targets clay loam soil from a paddy field in South China. Calibration of essential soil parameters was achieved using EDEM_2022 software (and subsequent versions) discrete element simulation software, employing the Edinburgh Elasto-Plastic Adhesion (EEPA) nonlinear elastic-plastic contact model. The tillage layer and plough sub-base layer underwent calibration through slump and uniaxial compression tests, respectively. Influential contact parameters affecting slump and axial pressure were identified through a Plackett–Burman test. The optimal contact parameter combinations for the discrete element model of the tillage layer and plough sub-base layer were determined via a quadratic rotational orthogonal test. The accuracy of the discrete element simulation model’s parameters for paddy field soils was further validated through a comparative analysis of the simulation test’s cone penetration and the field soil trench test. Results indicate that the Coefficient of Restitution, surface energy, Contact Plasticity Ratio, and Tensile Exp significantly influence slump ( p < 0.05). Additionally, the Coefficient of Restitution, Contact Plasticity Ratio, coefficient of rolling friction, and Tangential Stiff Multiplier significantly impact axial pressure ( p < 0.05). Optimal contact parameters for the plough layer were achieved with a particle recovery coefficient of 0.49, a surface energy of 18.52 J/m 2 , a plastic deformation ratio of 0.45, and a tensile strength of 3.74. For the plough subsoil layer, optimal contact parameters were a particle recovery coefficient of 0.47, a coefficient of interparticle kinetic friction of 0.32, a plastic deformation ratio of 0.49, and a tangential stiffness factor of 0.31. Results from the cone penetration test reveal no significant disparity in compactness between the actual experiment and the simulation test. The calibrated discrete element model’s contact parameters have been verified as accurate and reliable. The findings of this study offer valuable data references for understanding the dynamic characteristics of the walking wheel of the entire machinery in high-speed precision seeding in paddy fields.

Keywords: paddy field; clay loam; cone penetration test; discrete element method; parameter calibration (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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