Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing
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...
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| Format: | Article |
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MDPI AG
2023-08-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/13/9/1704 |
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| author | Xiaolong Lei Wencheng Wu Xuan Deng Tao Li Hongnan Liu Jinyue Guo Ju Li Peixu Zhu Ke Yang |
| author_facet | Xiaolong Lei Wencheng Wu Xuan Deng Tao Li Hongnan Liu Jinyue Guo Ju Li Peixu Zhu Ke Yang |
| author_sort | Xiaolong Lei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T23:09:22Z |
| format | Article |
| id | doaj.art-42391d3a6da44093a44174605ecf212e |
| institution | Directory Open Access Journal |
| issn | 2077-0472 |
| language | English |
| last_indexed | 2024-03-10T23:09:22Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj.art-42391d3a6da44093a44174605ecf212e2023-11-19T09:06:10ZengMDPI AGAgriculture2077-04722023-08-01139170410.3390/agriculture13091704Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench TestingXiaolong Lei0Wencheng Wu1Xuan Deng2Tao Li3Hongnan Liu4Jinyue Guo5Ju Li6Peixu Zhu7Ke Yang8College of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya’an 625014, ChinaThe 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.https://www.mdpi.com/2077-0472/13/9/1704granular compound fertilizerDEM simulationinteraction propertiesangle of reposecoefficient of restitution |
| spellingShingle | Xiaolong Lei Wencheng Wu Xuan Deng Tao Li Hongnan Liu Jinyue Guo Ju Li Peixu Zhu Ke Yang Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing Agriculture granular compound fertilizer DEM simulation interaction properties angle of repose coefficient of restitution |
| title | Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing |
| title_full | Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing |
| title_fullStr | Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing |
| title_full_unstemmed | Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing |
| title_short | Determination of Material and Interaction Properties of Granular Fertilizer Particles Using DEM Simulation and Bench Testing |
| title_sort | determination of material and interaction properties of granular fertilizer particles using dem simulation and bench testing |
| topic | granular compound fertilizer DEM simulation interaction properties angle of repose coefficient of restitution |
| url | https://www.mdpi.com/2077-0472/13/9/1704 |
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