4.6 Article

Calibration of Physical Characteristic Parameters of Granular Fungal Fertilizer Based on Discrete Element Method

期刊

PROCESSES
卷 10, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/pr10081564

关键词

repose angle; discrete element; granular fungal fertilizer; parameter calibration; optimization

资金

  1. Science and Technology Bureau of Xinjiang Production and Construction Corps fund for scientific and technological research projects in key areas [2020AB002]

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Based on physical and simulation experiments, we calibrated the basic characteristic parameters for granular fungal fertilizers, which have received little attention. These calibrated parameters can provide a basis for simulation analysis and parameter optimization for variable-rate fertilization systems.
Based on a combination of physical and simulation experiments, a set of basic physical characteristic parameters and contact parameters suitable for granular fungal fertilizers were calibrated, which up to now have received little attention. The physical morphological characteristic parameters (overall dimension, 1000 grain weight, density, and moisture content), mechanical characteristic parameters (Poisson's ratio, elastic modulus, and shear modulus), and contact parameters (static friction coefficient, rolling friction coefficient and recovery coefficient) of particles were measured through physical experiments. The parameters were screened for significance using the Plackett-Burman test. The results showed that the impact recovery coefficient, static friction coefficient, and rolling friction coefficient for the granular fungal fertilizer particles had a significant effect on the repose angle. The best range for the three parameters was determined using the steepest climbing test. The second-order regression model was optimized using the Box-Behnken design test. The relative error between the simulated repose angle (21.74 degrees) and the physical test repose angle (21.84 degrees) was small (0.50%). These optimal parameters obtained by calibration can provide a basis for the simulation analysis and parameter optimization of variable-rate fertilization systems.

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