Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing

Author:

Lei Xiaolong12ORCID,Wu Wencheng1,Deng Xuan1,Li Tao1,Liu Hongnan1,Guo Jinyue1,Li Ju12,Zhu Peixu1,Yang Ke1

Affiliation:

1. College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, China

2. Smart Agriculture Engineering Technology Center of Sichuan Province, Ya’an 625014, China

Abstract

The discrete element method (DEM) is an effective tool for obtaining qualitative and quantitative information on particle motion, which aids in the design and optimization of agricultural equipment structures. The accuracy of the DEM simulation parameters significantly impacts the simulation results. This study employed a combination of high-speed camera measurement, DEM simulation, and validation tests to determine the material and interaction property parameters for fertilizer particles. The basic parameters (triaxial size, bulk density, density, and coefficient of static friction) and coefficients of restitution between fertilizer and material were measured for three fertilizer varieties. There was a significant difference in the angle of repose between various material plates and fertilizer particles. The calibration values of coefficients of restitution and coefficients of rolling friction between fertilizer particles were optimized using the Box–Behnken method. The angle of repose was significantly affected by the coefficient of static friction and the coefficient of rolling friction between the fertilizer particles. The determined values for the coefficient of restitution, coefficient of static friction, and coefficient of rolling friction between the fertilizer particles were 0.323, 0.381, and 0.173, respectively. The error in the angle of the repose test was less than 3.0%, and the variation coefficient for each row consistency was less than 1.68 percentage points under the optimal simulation parameters. DEM simulations of the angle of repose and each row consistency variation coefficient test using the measured parameters can accurately predict the experimental results. The findings of this paper provide a theoretical basis for the DEM study of fertilizer particles.

Funder

National Natural Science Foundation of China

Rape Industry Cluster Project of Sichuan

Open Competition Project of Tianfu New District

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference28 articles.

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