Study on Verification Approach and Multicontact Points Issue When Modeling Cyperus esculentus Seeds Based on DEM

Xu, Tianyue; Zhang, Ruxin; Jiang, Xinming; Feng, Weizhi; Wang, Yan; Wang, Jingli

doi:10.3390/pr11030825

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…In order to avoid the issue of multiple contact points, the HMNS model was adopted to establish a model of ellipsoidal seed particles. The result supported the recent study in Xu's finding, which reported that, with an increasing number of contact points, the rebound height decreased when creating the particle model based on the MS method [34]. It is important to note that the assumption of ellipsoidal seeds as dry particles was not entirely accurate, particularly in the case of a single seed in the calibration test (a freefall experiment).…”

Section: Contact Model Selectionsupporting

confidence: 88%

Determination of Ellipsoidal Seed–Soil Interaction Parameters for DEM Simulation

Xu,

Fu,

et al. 2024

Agriculture

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During precision sowing, the contact process between the soil and seeds cannot be ignored. The constitutive relationship of soil is relatively complex, with characteristics such as high nonlinearity, while the contact mechanism between the soil and seeds is unclear. To better understand the contact between seeds and soil, it is necessary to establish a reasonable contact model. Ellipsoidal seeds, such as soybean, red bean, and kidney bean seeds, were adopted as research objects. In this paper, we used the discrete element method to establish an ellipsoidal seed–soil contact model. The JKR + bonding model was adopted for describing the adhesion between soil particles, and the Hertz–Mindlin new restitution (HMNS) model was used for ellipsoidal seed particles to eliminate the multiple contact point issue when modeling with the multi-sphere filling method. Moreover, both simulations and experiments were conducted to calibrate the interaction parameters between soil and seeds. The path of steepest ascent test and Box‒Behnken design (BBD) tests were also used, as well as direct shear tests. Thus, certain soil parameter values were obtained, namely the JKR surface energy was 4.436 J/m2, the normal stiffness per unit area was 2.86 × 106 N/m3, the shear stiffness per unit area was 5.54 × 105 N/m3, the critical normal stress was 1833 Pa, and the critical shear stress was 3332 Pa. In addition, the simulation parameters for ellipsoidal seeds were obtained from previous works. Moreover, to obtain more accurate ellipsoidal seed–soil interaction parameters, collision tests, static friction tests, and rolling friction tests were adopted. A single-factor test was used to calibrate the ellipsoidal seed–soil interaction parameters. The calibration results were as follows: the collision restitution coefficients of ellipsoidal seeds with soil were all 0.25. The static friction coefficient of soybeans with soil was 0.6, that of red beans with soil was 0.65, and that of kidney beans with soil was 0.5. The rolling friction coefficient of soybeans with soil was 0.1, that of red beans with soil was 0.14, and that of kidney beans with soil was 0.14. Finally, the rationality of parameter selection was verified through piling tests between ellipsoidal seeds and soil. The relative error of the angle of repose of soybean/soil was 2.99%, that of red bean/soil was 0.60%, and that of kidney bean/soil was 0.55%. Thus, the feasibility and rationality of the contact models between the ellipsoidal seeds and soil established in this paper, as well as the parameter selection, were verified.

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Section: Contact Model Selectionsupporting

confidence: 88%

Determination of Ellipsoidal Seed–Soil Interaction Parameters for DEM Simulation

Xu,

Fu,

et al. 2024

Agriculture

Self Cite

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“…Table 1 shows the high (+1) and low (−1) levels of parameters A~I in the PB test. Based on EDEM software (EDEM version: EDEM 2018, DEM Solutions, Edinburgh, UK, 2002), a soil particle model was established using a multisphere combination method for simulation experiments [32][33][34], which cannot reflect the magnitude of the soil water content. The bonding between particles needed to be characterized by the JKR surface energy, which was subsequently calibrated by the simulation test in this paper, and the Rayleigh time step of the simulation test was 1.5 × 10 −4 s. The simulation screenshot of the soil AoR test is shown in Figure 6…”

Section: Calibration Of the Dem Parameters Of The Soda Saline-alkali ...mentioning

confidence: 99%

Calibration of Model Parameters for Soda Saline Soil-Subsoiling Component Interaction Based on DEM

Liu,

Wang,

Feng

et al. 2023

Applied Sciences

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To apply the discrete element method (DEM) to simulate the interaction process between soda saline–alkali soil and subsoiling component in Northeast China, establishing the soda saline–alkali soil particle model and selecting more accurate simulation parameters are important. In this paper, we studied the soda saline–alkali soil of the Songnen Plain in China. First, we studied the geometric shape of soda saline–alkali soil particles and proposed a modeling method for single soil particles based on the multisphere combination method. Considering the cohesion of soda saline–alkali soil particles, the Hertz–Mindlin with JKR (JKR) model was used as the contact model between soil particles. Then, the calibration method was used to obtain simulation parameters of soils that are difficult to obtain experimentally. We conducted soil angle of repose (AoR) tests, the Plackett–Burman (PB) tests, and steepest ascent (SA) tests in turn to perform a sensitivity analysis for microscopic contact parameters and select the parameters that have a significant effect on the response value (static AoR), i.e., soil surface energy, soil–soil static friction coefficient, and soil–soil rolling friction coefficient. Then, the optimal combination of simulation parameters was obtained via the Box–Behnken (BB) tests, using ANOVA to optimize the multiple regression equation. Finally, the optimal parameter combination was verified by the AoR test and the direct shear (DS) test. The results showed that the parameters had good adaptability for the AoR test. However, the simulation results of the DS test were significantly different from the experimental values. Therefore, the contact model needs to be further modified by adding Bonding bonds between soil particles based on the JKR model and further correcting for Rayleigh time step, shear modulus, and surface energy. By comparing the simulation and the experimental results, it was found that the simulation results obtained from both the DS test and AoR test had relatively small errors relative to physical tests, the two trends are the same, and the values are similar. This verified the feasibility and effectiveness of the soda saline–alkali soil particle modeling method and parameter selection proposed in this paper.

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Ellipsoidal seed modeling and simulation parameter selection based on the discrete element method

Xu,

Fu,

Liu

et al. 2023

Materials Today Communications

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Study on Verification Approach and Multicontact Points Issue When Modeling Cyperus esculentus Seeds Based on DEM

Cited by 3 publications

References 30 publications

Determination of Ellipsoidal Seed–Soil Interaction Parameters for DEM Simulation

Determination of Ellipsoidal Seed–Soil Interaction Parameters for DEM Simulation

Calibration of Model Parameters for Soda Saline Soil-Subsoiling Component Interaction Based on DEM

Ellipsoidal seed modeling and simulation parameter selection based on the discrete element method

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