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

Lei, Xiaolong; Wu, Wencheng; Deng, Xuan; Li, Tao; Liu, Hongnan; Guo, Jinyue; Li, Ju; Zhu, Peixu; Yang, Ke

doi:10.3390/agriculture13091704

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…At the same time, new metal materials were built, and the materials' properties were set, i.e., the dynamic friction and static friction factors between the extrudates in the cleaning process were set, as shown in Table 3. Moreover, the contact parameters of the particle-particle and the particle-geometry are shown in Table 4, and Table 5 shows other parameters [26,27]. The new pellet factory was dynamically generated upon the feeding inlet, with a virtual rectangular plane of 290 mm × 120 mm.…”

Section: The Dem Model Establishmentmentioning

confidence: 99%

Numerical Simulation and Optimization of Peanut Sheller Air–Screen Cleaning Device

Liu,

Yu,

Wang

et al. 2023

Agriculture

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To improve its cleaning performance, the peanut sheller’s air–screen cleaning device was used as the research object, and a numerical simulation was carried out. A scheme was proposed to optimize the installation angle of the screen surface of the air–screen cleaning device, and the influence of the airflow velocity of the sieve surface before and after the structural improvement of the machine on the airflow distribution of the whole chamber was evaluated. At the same time, the computational fluid dynamics–discrete element method (CFD–DEM) of coupling simulation was used to carry out single-factor simulation tests on the improved air–screen cleaning device, analyze the movement trajectory, velocity, and displacement of the extrudates in the cleaning chamber, characterize the separation law of extrudates, and determine the parameter ranges for each factor. In addition, based on the central composite Box–Behnken design, an orthogonal simulation test was carried out with three factors, including fan speed, amplitude, and vibration frequency, and the influence of each factor on the kernel loss rate and impurity rate was investigated. Furthermore, the influencing factors were optimized, and the optimal parameter combination was obtained; when the fan speed was 1682.72 r/min, the amplitude was 3.74 mm, and the vibration frequency was 492.86 Hz, it was more conducive to the cleaning of kernels. Finally, the accuracy of the simulation and optimization methods was verified via the machine test, and the optimal parameter combination was obtained: at a fan speed of 1680 r/min, an amplitude of 3.7 mm and a vibration frequency of 490 Hz were achieved, and the kernel loss rate and impurity rate were 2.01% and 2.42%, 3.71 and 4.42 percentage points lower than those before optimization, respectively.

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Section: The Dem Model Establishmentmentioning

confidence: 99%

Numerical Simulation and Optimization of Peanut Sheller Air–Screen Cleaning Device

Liu,

Yu,

Wang

et al. 2023

Agriculture

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“…The physical and mechanical properties of the fertilizer will affect its moving characteristics in the fertilization machine, which, in turn, affects the selection of the component materials and the design of the structural parameters [6]. The parameters of granular fertilizers, such the size, density, coefficient of friction, suspension speed, coefficients of restitution, collision recovery coefficient, and elastic modulus, were studied [7][8][9], and the interaction properties of fertilizer particles were investigated as well [10]. Xiao Wenli analyzed the influence of the fertilizer shape and particle size distribution on the flow parameters [6].…”

Section: Introductionmentioning

confidence: 99%

Compression Strength and Critical Impact Speed of Typical Fertilizer Grains

Xin,

Jiang,

Song

et al. 2023

Agriculture

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The application of fertilizer is necessary for the growth and yield of crops, especially for paddy rice. Precision application is important for the fertilizer utilization rate and sustainable development of agriculture. However, the crushing of fertilizer grains will reduce the quality of fertilization, for the decrease in the size and mass of the fertilizer particles and the degree of crushing mainly depend on the physical and mechanical properties of the fertilizer grains. In this study, the compression strength and critical impact speed of four typical commonly used fertilizer grains, a compound fertilizer of nitrogen, phosphorus, and potassium (NPK compound fertilizer), organic fertilizer, large granular urea, and small granular urea, were measured and analyzed. The static compression test was carried out using a TMS-Pro texture analyzer and the results show that the four kinds of fertilizer grains are brittle materials, and their elastic moduli are 208 MPa, 233 MPa, 140 MPa, and 107 MPa, respectively; the theoretical impact model of fertilizer granules is established based on the compression test result and Hertz elastic contact theory, the theoretical formula for the critical impact speed of fertilizer grains is derived, and the theoretical critical impact strength and speed are worked out. An image capture system for the impact process of fertilizer grains was developed, and the impact test was conducted. The results show that the critical impact speed of the four kinds of fertilizer grains decreases with the increase in granule size, while the variance analysis shows that the effect is not significant. The comparison of the experimental results with the theoretical values shows that the theoretical formula could be used to predict the trends of the critical impact speed of fertilizer grains. The model was optimized with the MATLAB 2018 function fitting tool based on the test and analysis. The goodness of fit of the formula is 0.824, which is 13.43% greater than that of the original theoretical formula, indicating that the modified formula based on the compression test data might estimate the critical impact speed of the granular fertilizer with brittle material properties more accurately. The results may provide a reference for the parameter design of a precision fertilization machine.

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Measurement of the Physical Parameters of Peanut Seeds and Calibration of the Discrete Element Parameters

DIAO,

YE,

ZHANG

et al. 2024

INMATEH

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This study measured the intrinsic and contact parameters through physical experiments to improve the accuracy of discrete element simulation analysis of peanut seeds. Discrete element models for five different peanut seed filling ball numbers were established. The simulation parameters were calibrated through a combination of physical and simulation experiments. Firstly, the Plackett-Burman test was used to screen the significance of simulation parameters. Then, the steepest climbing test was conducted to determine the optimal range of significance parameters using the relative error be-tween the simulated and the physical experimental as the evaluation index. Finally, a response surface experiment with three factors and three levels was conducted using the repose angle as the response value. The static and rolling friction coefficients among peanut seeds were set as 0.43 and 0.50 separately, and the rolling coefficient between peanut seeds and steel plate was set as 0.12. During verification experiments, the simulated repose angle was 25.18°, with a relative error of 2.42% compared to the physical repose angle, further verifying the reliability of the simulation model. The re-search group used different numbers of filling balls with optimal parameters in the repose angle experiment. Then they evaluate the simulation time and the error value of repose angle between the simulated and physical experiment. The optimal number of filled balls is the Sphere 1178. The research results indicate that discrete element model of peanut seeds and calibration parameters are reliable. Based on the results of this research, an intelligent peanut precision sowing machine can be developed.

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

Cited by 3 publications

References 21 publications

Numerical Simulation and Optimization of Peanut Sheller Air–Screen Cleaning Device

Numerical Simulation and Optimization of Peanut Sheller Air–Screen Cleaning Device

Compression Strength and Critical Impact Speed of Typical Fertilizer Grains

Measurement of the Physical Parameters of Peanut Seeds and Calibration of the Discrete Element Parameters

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