Optimization design of fertilizer apparatus owned arc gears based on discrete element method

Dun, Guoqiang; Gao, Zhiyong; Liu, Yuxuan; Ji, Wenyi; Mao, Ning; Wu, Xingpeng; Liu, Wenhui

doi:10.25165/j.ijabe.20211402.5719

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…The calculation method of the relative error of the total fertilizer amount is consistent with Equation (14). It is the absolute value of the actual fertilizer amount minus the target fertilizer amount divided by the percentage of the target fertilizer amount.…”

Section: Superimposed Sowing Spreading Fertilization Test Resultsmentioning

confidence: 99%

“…In addition to the grooved wheel fertilization device, inter-row fertilizer applicators based on other structures have also been investigated and reported [13]. A fertilizer apparatus utilizing arc gears and the discrete element method was used to determine the optimum structural parameters to improve fertilization accuracy and uniformity [14]. A pin-roller structure was used as a variable-rate fertilizer metering device, and the uniformity of fertilizer discharge was 10.36% when its speed was low [15].…”

Section: Introductionmentioning

confidence: 99%

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Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

Bai

Luo

et al. 2023

Agriculture

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China’s agricultural facilities are developing rapidly and are mainly operated through household contracting. Due to a lack of suitable variable-rate fertilization devices, manual and blind fertilization still widely exists, resulting in fertilizer waste and environmental pollution. Meanwhile, existing fertilization devices cannot simultaneously meet the needs of different fertilization methods for crop cultivation, increasing the cost of mechanized fertilization. This study developed a lightweight dual-mode automatic variable-rate fertilization device and control system for strip fertilization and spreading fertilization. The least squares method was used to analyze the amount of fertilizer discharged per second at different volumes and rotational speeds of the fertilization device. The quadratic polynomial model fits well, with determination coefficients greater than 0.99. The automatic variable strip fertilization and spreading fertilization control models were established. Experiments with strip fertilization and spreading fertilization were carried out. The results of strip fertilization experiments show that the maximum relative error (Re) for granular nitrogen fertilizer (NF) was 6.81%, compound fertilizer (CF) was 6.2%, organic compound fertilizer (OCF) was 6.83%, and the maximum coefficient of variation (Cv) of uniformity was 8.91%. The results of spreading fertilization experiments show that the maximum Re of granular NF was 7.31%, granular CF was 6.76%, granular OCF was 7.43%, the Cv of lateral uniformity was 9.88%, and the Cv of total uniformity was 14.17%. The developed fertilization device and control system can meet the needs of different fertilization amounts, types, and methods for facility crop cultivation at different stages. This study’s results can provide a theoretical basis and technical support for designing and optimizing multifunctional precision variable-rate fertilization devices and control systems.

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Section: Superimposed Sowing Spreading Fertilization Test Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

Bai

Luo

et al. 2023

Agriculture

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show abstract

“…To improve the working performance of fertilizer drains, scholars at home and abroad have conducted much research on fertilizer draining devices. In recent years, EDEM (a simulation software developed by DEM solutions, UK) based on the discrete element method has been widely used in the optimization analysis of fertilizer discharge devices [7][8][9]. Studying the interaction between its key components and fertilizer particles through the discrete element method can provide a reference basis to design and optimize fertilizer discharge devices, which can effectively improve the R&D (Research and Development) efficiency and reduce the R&D cost.…”

Section: Introductionmentioning

confidence: 99%

Calibration and Testing of Discrete Element Simulation Parameters for Urea Particles

Dong

et al. 2022

Processes

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The lack of accurate simulation model parameters in the optimization design process of variable fertilizer application devices has resulted in large errors between simulation and theoretical calculation results, which has restricted the development of variable fertilizer application devices to a certain extent. Additionally, there are few scholars studying urea granules, so many parameters of urea granular fertilizer cannot be directly obtained from the literature. The aim of this study is to calibrate a set of simulation parameters by combining physical and simulation tests. In this study, intrinsic parameters were systematically determined, including the particle size, particle density, elastic modulus, Poisson’s ratio and their static friction coefficients, rolling friction coefficients and restitution coefficients of urea particles. By performing the urea particle stacking test, the static friction coefficient between urea particles was calibrated to 0.27, and the rolling friction coefficient between particles was 0.11. To check the reliability of the calibration parameters, the simulation and physical tests of the repose angle and bulk density of urea particles were compared, and the results show that the relative error of repose angles and bulk density of urea particles was 0.78% and 1.19%, respectively. Through the simulation of the mechanical variable fertilizer discharger and the comparison test of the benchtop fertilizer discharging performance, the maximum relative error between the simulation and physical test fertilizer discharge is 3.69% when the working length of the outer sheave is 25 mm; the maximum relative error between the simulation and physical test fertilizer discharge is 3.39% when the working length is 35 mm; the maximum relative error between the simulation and physical test fertilizer discharge is 6.86% when the working length is 45 mm; the maximum relative error between the simulation and physical test fertilizer discharge is 4.95% when the working length is 55 mm. The maximum relative error between the simulated and physical test fertilizer discharge was 6.86% at 45 mm opening and 4.95% at 55 mm opening, and the results show that the urea particle calibration parameters are reliable. The results of this study can provide a theoretical reference for the optimization design and simulation study of variable fertilizer application devices.

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“…The repose angle is often used to calibrate material parameters in agricultural engineering, such as seeds and soil. In recent years, The discrete element method (DEM) is adopted to investigate the flow characteristics of particle materials, nowadays, which is widely applied in the field of agricultural equipment [1][2][3][4] . The main factors affecting the formation of repose angle include the particle shape, friction characteristic, the contact model and so on.…”

Section: Introduction mentioning

confidence: 99%

Investigation of interaction effect between static and rolling friction of corn kernels on repose formation by DEM

Shi

Yang

Zhao

et al. 2021

International Journal of Agricultural and Biological Engineering

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The coefficient of static friction (SF), the coefficient of rolling friction (RF) for particles are two key parameters affecting the repose angle formation and flow characteristics. In this paper, the interaction effects of SF and RF on the formation process of corn repose angle was investigated by the discrete element method. Firstly, five shape kinds of corn models (horse tooth, spherical cone, spheroid, oblate, and irregular shape) were established. Secondly, aluminum cylinder and organic glass box were used to conduct the simulation experiments with taking SF and RF as independent factors and seeing the repose angle as dependent value. Based on simulation results the regression equations were established. Simulation results showed the relation between two factors and the rotational kinetic energy is not nonlinear, and SF does not significantly restrict the flow of corn models after increasing the flow direction, and the effect of SF on the contact number between corns and the bottom plate is remarkable, while the effect of RF on the contact number is not remarkable. Finally, the interaction effect of two factors on the repose angle was analyzed by variance analysis and results showed SF and RF all have a significant impact on the repose angle. Moreover, their interaction effect has an impact on the repose angle.

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Optimization design of fertilizer apparatus owned arc gears based on discrete element method

Cited by 4 publications

References 3 publications

Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

Calibration and Testing of Discrete Element Simulation Parameters for Urea Particles

Investigation of interaction effect between static and rolling friction of corn kernels on repose formation by DEM

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