Parameter Calibration and Systematic Test of a Discrete Element Model (DEM) for Compound Fertilizer Particles in a Mechanized Variable-Rate Application

Yuan, Fahui; Yu, Hanwen; Wang, Lin; Shi, Yinyan; Wang, Xiaochan; Liu, Hui

doi:10.3390/agronomy13030706

Cited by 5 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The experiment was designed with the black soil stacking angle as a target as well as six real variables, A-F, and five virtual parameters, V1-V5. Each simulated contact characteristic had a minimum and maximum value following a certain scale of values, denoted as numbers (−1) and (+1), to filter out the important parameters in the simulated contact parameters of black soil particles [30]. At the same time, a center spot was created for thirteen groups within the simulation trials and each group of trials had five repetitions.…”

Section: The Calibration Methods Of the Simulation Parametermentioning

confidence: 99%

Optimal Discrete Element Parameters for Black Soil Based on Multi-Objective Total Evaluation Normalized-Response Surface Method

et al. 2023

View full text Add to dashboard Cite

The lack of accurate black soil simulation model parameters in the design and optimization of soil remediation equipment has led to large errors in simulation results and simulation outcomes, which to some extent restricts the development of soil remediation equipment. Accurate discrete element parameters can improve the efficiency of soil remediation equipment. To improve the reliability of the discrete element contact parameters for black soil, a set of optimal discrete element contact parameters was found that could comprehensively represent a variety of particle sizes and minimize error. In this paper, the best discrete element contact parameters were selected by using a multi-indicator total evaluation normalization method combined with the response surface method, combined with black soil solid and simulated stacking tests. First, the physical parameters of the black soil and the accumulation angle were determined. Next, Plackett–Burman tests were carried out for each grain size in turn to obtain the contact parameters that had a significant effect on the black soil accumulation angle. The important parameters obtained for different particle sizes are all as follows: black soil–black soil static friction coefficient, black soil–black soil rolling friction coefficient, and black soil–stainless steel rolling friction coefficient. In conjunction with the Plackett–Burman test screening results, the steepest climb test was designed for six grain sizes to optimize the range of values. To find the optimal contact parameters for the different particle sizes based on the final results of Box–Behnken experiments, the discrete element parameters of black soil were optimized for the different particle sizes of black soil by using the multi-indicator total evaluation normalization method and response surface method. The results showed that the black soil–black soil static friction coefficient was 1.045, the black soil–black soil rolling friction coefficient was 0.464, and the black soil–stainless steel rolling friction coefficient was 0.215. The errors for each particle size were reduced by 0.89%, 0.7%, 0.84%, 0.57%, 0.71%, and 0.76% for the best combination of parameters before and after normalization, with an average error reduction of 0.745%. This data provides some reference value for the design and optimization of soil remediation equipment.

show abstract

Section: The Calibration Methods Of the Simulation Parametermentioning

confidence: 99%

Optimal Discrete Element Parameters for Black Soil Based on Multi-Objective Total Evaluation Normalized-Response Surface Method

et al. 2023

View full text Add to dashboard Cite

show abstract

“…For more accurate, faster, and cheaper fertilizer-spreading research, researchers propose the use of modeling based on the discrete element method (DEM) [10,11,[14][15][16][17]. It is a promising and convenient method to record the dynamic behavior of agricultural materials in the operation of agricultural machinery from both the macro and micro perspectives [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Verification of the Physical–Mechanical Properties of Organic Bone Meal Granular Fertilizers

Jotautienė,

Bivainis,

Karayel

et al. 2024

Agronomy

View full text Add to dashboard Cite

Continuous efforts are being made to improve fertilizer efficiency by improving fertilizer technology, quality, and application rates. Granular organic fertilizers are more difficult to achieve uniform application because their physical–mechanical properties differ significantly from mineral fertilizers. The properties of granular organic fertilizers can best be determined experimentally. However, these studies are often quite complex. Modern engineering modeling software makes it possible to model the properties of granular fertilizers and their dispersion. This study deals with the theoretical and experimental verification of the physical–mechanical properties of organic bone meal granular fertilizer. For the verification of selected properties of bone meal granules, the following studies were carried out on the granules: determination of poured bulk density, static and dynamic angles of repose, static and dynamic friction coefficients of granule surface, etc. The results showed that for modeling fertilizer properties, it is sufficient to carry out a static compression test to determine the modulus of elasticity and a friction test between granules and the contacting surface to determine the static and dynamic friction coefficients. The remaining properties of the granules can be modeled and calibrated with the DEM software Altair EDEM 2023.

show abstract

“…With the rapid development of computer technology, EDEM, a numerical simulation software based on the discrete unit method, has been used in agricultural research. Huang WJ calibrated parameters for sandy soils in discrete element simulation [12]; Li used EDEM simulation to calibrate parameters for sandy soils with different moisture contents, which proved the reliability of bonding parameters and provided a parameter basis for discrete element simulation of potato soil separation [13]; and Jiang studied the shear strength of sandy loam soils based on the discrete element simulation approach [14]. Alfaris Murtadha A.…”

Section: Introductionmentioning

confidence: 99%

Discrete Element-Based Simulation Analysis and Research of Potato Soil Agglomerate Fragmentation and Separation

et al. 2023

View full text Add to dashboard Cite

To study the influence law of the overburden rotating plate mechanism on the fragmentation and separation of potato soil agglomerates, a single-factor test and a response surface test simulation analysis of the soil fragmentation process were conducted in EDEM 2022 software. The results of the single-factor test show that the triangular rack blade of the overburdened rotating plate mechanism has the best effect on soil fragmentation and separation. With the increase in the lower blade speed, the upper lift chain bar line speed, and the tilt angle of the mechanism, the effect on the fragmentation and separation of potato soil agglomerates decreases. The response surface test results show that the debris removal rate decreases with the increase in blade speed and tilt angle, the percentage of bond breakage between potato soil particles declines with the rise of blade speed and lift chain bar line speed, and the percentage of bond breakage between soil particles increases with the increase in blade speed and lift chain bar line speed. The optimal solution was obtained by using the optimization function in Design-Expert 13 software, which was adjusted as follows: the blade rack type was triangular, the lift chain bar line speed was 0.307 m/s, the blade speed was 0.4 m/s, and the tilt angle was 40°. The research methods and results provide a reference for the simulation of potato soil crushing and separation motion in a sandy loam soil cultivation area.

show abstract

Parameter Calibration and Systematic Test of a Discrete Element Model (DEM) for Compound Fertilizer Particles in a Mechanized Variable-Rate Application

Cited by 5 publications

References 12 publications

Optimal Discrete Element Parameters for Black Soil Based on Multi-Objective Total Evaluation Normalized-Response Surface Method

Optimal Discrete Element Parameters for Black Soil Based on Multi-Objective Total Evaluation Normalized-Response Surface Method

Theoretical and Experimental Verification of the Physical–Mechanical Properties of Organic Bone Meal Granular Fertilizers

Discrete Element-Based Simulation Analysis and Research of Potato Soil Agglomerate Fragmentation and Separation

Contact Info

Product

Resources

About