Calibration and Testing of Discrete Element Simulation Parameters for Sandy Soils in Potato Growing Areas
Source abstract
Abstract
To improve the accuracy of discrete element simulation in the process of separating potato–soil mixtures, the contact parameters of sandy soil with 3, 6, 9, and 12% water content were calibrated in DEM simulation using EDEM software simulation. The error of the rest angle between them was used as an index, and the approach of performing only one simulation and multiple Box–Behnken response surface analyses was proposed to determine the optimal parameter combinations. Meanwhile, unconfined compression and direct shear tests were conducted to obtain the parameters of polymer bonds for soil with different water content, and a simulation was carried out using EDEM. The test results show that the significant parameters affecting the rest angle are JKR surface energy, soil interparticle recovery coefficient, and rolling friction factor. The numerical simulation of the rest angle was compared with the physical test, and the maximum relative error between them was 4.72%. The bond parameters of soil with different water content and firmness were obtained and compared with the simulation test, the maximum error was 6.53% for the direct shear test and 8.07% for the unconfined compression test, which proved that the bonding parameters are reliable and provide an effective parametric and theoretical basis for the discrete element simulation of soil particles.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Soil Mechanics and Vehicle Dynamics · Geotechnical Engineering and Soil Stabilization · Granular flow and fluidized beds
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China
Funding
National Natural Science Found of China · Science and Technology Program of Inner Mongolia Autonomous Region of China · Natural Science Foundation of Inner Mongolia Autonomous Region of China
References (45)
Show source-provided references
1. Development of potato harvester with buffer type potato-impurity separation sieve
2. Simulation calibration of highland barley contact parameters based on EDEM
3. Parameter calibration of corncob based on DEM10.1016/j.apt.2022.103699 ↗
4. Discrete element parameter calibration and the modelling of dragline bucket filling10.1016/j.jterra.2009.03.003 ↗
5. Calibration of discrete element parameters and experimental verification for modelling subsurface soils10.1016/j.biosystemseng.2021.10.012 ↗
6. Research on stacking angle of coal particles and parameter calibration on EDEM
7. Calibration of contact parameters for pig manure based on EDEM
8. Calibration methods of sandy soil parameters in simulation of discrete element method
9. Fang, H. (2016). Research on the straw-soil-rotary blade interaction using discrete element method. [Master’s Thesis, Nanjing Agriculture University].
10. DEM analysis of subsoiling process in wet clayey paddy soil
11. Calibration of cohesive DEM parameters under rapid flow conditions and low consolidation stresses10.1016/j.powtec.2020.07.017 ↗
12. Parameter Calibration of Pig Manure with Discrete Element Method Based on JKR Contact Model10.3390/agriengineering2030025 ↗
13. Parameter calibration of discrete element simulation model for latosol particles in hot areas of Hainan Province
14. Parameters calibration of discrete element of clay soil in yam planting area
15. Measurement and calibration of DEM parameters of lunar soil simulant10.1016/j.actaastro.2021.11.009 ↗
16. Calibration of discrete element parameters of crop residues and their interfaces with soil10.1016/j.compag.2021.106349 ↗
17. Determination of discrete element model parameters for a cohesive soil and validation through narrow point opener performance analysis10.1016/j.still.2021.105123 ↗
18. Parameter Optimization and Test of Potato Harvester Wavy Sieve Based on EDEM
19. Calibration Method of Contact Characteristic Parameters of Soil inMulberry Field Based on Unequal-diameter Particles DEM Theory
20. Wang, Y. (2019). Soil Wind Erosion Characteristics and Wind Erosion Estimation in Dry Farming Areas of Wuchuan County. [Master’s Thesis, Inner Mongolia Agriculture University].
21. Chinese Academy of Inspection and Quarantine, and China Chemical Economic and Technological Development Center (2011). Chemicals-Test method for particlesize analysis of soils. General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China.
22. China Renewable Energy Engineering Institute, and Nanjing Hydraulic R lesearch Institute (2019). Standard for geotechnical testing method. Ministry of Housing and Urban-Rural Development of the People’s Republic of China, State Administration for Market Regulation.
23. Parameter calibration of discrete element numerical simulation for the dedusting sieve of corn straw feed
24. Calibration of discrete element parameters of soils based on unconfined compressive strength test
25. An experimental study of the unconfined compressive strength characteristics of the expansive soil with cracks
26. Mesoscopic Parameter Calibration Method of Accumulated Debris Materials Based on Direct Shear Test and Simulation Verification
27. Experimental research on Poisson’ s ratio of sandy soil
28. Research Institute of Forestry Chinese Academy of Forestry-Forest Soil Laboratory (1999). Determination of soil particle density in forest soil; forestry industry standards, Standardization Administration of the People’s Republic of China. A4.
29. Modenese, C. (2013). Numerical Study of the Mechanical Properties of Lunar Soil by the Discrete Element Method. [Ph.D. Thesis, University of Oxford].
30. Surface Energy and the Contact of Elastic Solids
31. Measurement and calibration of the discrete element parameters of wet bulk coal—ScienceDirect10.1016/j.measurement.2019.04.069 ↗
32. Parameter calibration of wheat flour for discrete element method simulation based on particle scaling
33. DEM parameter calibration of cohesive bulk materials using a simple angle of repose test10.1016/j.partic.2018.08.005 ↗
34. Scaled-up rice grain modelling for DEM calibration and the validation of hopper flow10.1016/j.biosystemseng.2020.03.018 ↗
35. Calibration of the simulation parameters of the particulate materials in film mixed materials
36. New 3-level response surface designs constructed from incomplete block designs10.1016/j.jspi.2007.05.002 ↗
37. Response surface methodology (RSM) as a tool for optimization in analytical chemistry10.1016/j.talanta.2008.05.019 ↗
38. Optimization of on-chip bacterial culture conditions using the Box-Behnken design response surface methodology for faster drug susceptibility screening10.1016/j.talanta.2018.10.048 ↗
39. A bonded-particle model for rock10.1016/j.ijrmms.2004.09.011 ↗
40. Modelling of sand production using a mesoscopic bonded particle lattice Boltzmann method10.1108/EC-02-2018-0093 ↗
41. Cone crusher modelling and simulation using DEM10.1016/j.mineng.2015.11.004 ↗
42. Effect of the clump size for bonded particle model on the uniaxial and tensile strength ratio of rock10.1016/j.ijrmms.2018.12.024 ↗
43. Study on Macro–Meso Failure Mechanism of Pre-fractured Rock Specimens Under Uniaxial Compression10.1007/s10706-018-0531-x ↗
44. Cone crusher performance evaluation using DEM simulations and laboratory experiments for model validation10.1016/j.mineng.2016.09.015 ↗
45. An approach to calibration of BPM bonding parameters for iron ore10.1016/j.powtec.2020.12.021 ↗