Discrete element simulation of the microscopic mechanical structure in sandpile

Yong-Zhi, Zhao; Jiang, Maoqiang; Ping, Xu; Zheng, Jinyang

doi:10.7498/aps.58.1819

Cited by 12 publications

(5 citation statements)

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“…As an intrinsic characteristic of bulk materials, stacking angle can provide insights into their flow and friction properties [27][28][29] . A combinatorial approach 11 was employed to calibrate parameters.…”

Section: Methodsmentioning

confidence: 99%

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

Qi,

Chen,

Yang

et al. 2024

Sci Rep

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A methodology combining physical experiments with simulation was employed to acquire contact parameters of sandy soil precisely for planting tiger nuts in the desert area of Xinjiang. The stacking angle under different parameter combinations was applied as a response value. Through the Plackett–Burman test, several factors that have a significant influence were determined. The steepest ascent test was conducted to establish the finest scope of values for these parameters. The stacking angle was considered the response variable, and non-linear tools were used to optimize these parameters for simulation. The findings showed that applying response surface methodology (RSM) resulted in a relative error of 1.24%. In the case of BP-GA, the relative error compared to the physical test value was 0.34%, while for BP, it was 2.18%. After optimization using Wavelet Neural Network (WNN), the relative error was reduced to only 0.15%. Results suggest that WNN outperforms the RSM model, and the sandy soil model and parameters generated using WNN can be effectively utilized for discrete element simulation research.

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Section: Methodsmentioning

confidence: 99%

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

Qi,

Chen,

Yang

et al. 2024

Sci Rep

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“…Considering only the similarities between the model and real material, the smaller the radius of the filled particles, the higher the number of particles with a higher matching accuracy between the discrete element model and the real material. However, the larger the number of filled particles, the larger the computational effort and the longer the computational time [18][19][20]. Thus far, there have been no reports on the effect of filled particle size on the simulation accuracy of EDEM.…”

Section: Applicable Scenariosmentioning

confidence: 99%

Calibration and Experimentation of Discrete Elemental Model Parameters for Wheat Seeds with Different Filled Particle Radii

Ma,

Shi,

Hou

et al. 2024

Applied Sciences

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A Gas–solid two-phase flow coupling simulation is widely used to study the working process of pneumatic seed dischargers. Due to the demand for deterministic particle orbit numerical calculation models, seeds are mostly modeled using the particle aggregation method, where the seed model is formed through particle aggregation bonding without overlapping. The smaller the radius and the more filled ball particles used in this method, the closer they resemble the real morphology of the seed. However, this results in the over-consumption of simulation computational resources and simulation time growth. In this study, we used wheat seeds as the research object, studied the effect of seed models with different filled ball radii on the kinetic response characteristics between the particles, and searched for the optimal number of filled ball particles for the seed model. With the help of three-dimensional scanning and inverse fitting methods to obtain the seed profile, we used different radii (0.2 mm, 0.24 mm, 0.28 mm, 0.32 mm, 0.36 mm, and 0.4 mm) to fill the ball particles, and formed a wheat particle bonding model for a gas–solid coupling simulation. We used a combination of real tests and simulation measurements of bottomless cylinder-lifting and slip-stacking. The interspecies static and dynamic friction factors in seed models with different radii of filled spherical particles were first calibrated using the angle of repose as an index. Then, the parameters were verified using bottomless cylinder lifting and slip stacking tests, which used the coefficient of variation for the simulation test’s angle of repose as an index. Our results show that the smaller the radius of the filled ball, the closer the simulation results were to the real value. Validation was conducted using a gas–solid coupling simulation of an air-blown wheat seed discharger, with the seed filling rate as an index. Our results showed that the simulation length and simulation accuracy were optimal when the radius of the filling particle was 0.32 mm.

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“…In this paper, soft ball models are used to study plastic particles used in 3D printing devices. The Hertz-mindlin contact theory [14] was chosen as the contact simulation model to derive the interparticle force. The contact force in this model:…”

Section: Establish Dem Mathematical Modelmentioning

confidence: 99%

Numerical Simulation and Optimization Design of Particle Transport in 3D Printers Spiral Extrusion 3D Printers

Zhang,

Shi,

Huang

2024

J. Phys.: Conf. Ser.

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In response to the challenges of feed delay and inconsistent wire production in existing 3D printers, a novel 3D simulation model for spiral extrusion 3D printers was developed. This model incorporates the particle filling rate within the spiral groove as a critical evaluation criterion, establishing a correlation between the transport section parameters and the filling rate. The simulation software STAR-CCM+ was utilized for in-depth analysis, leading to structural optimizations based on various feeding mechanisms. The effects of different hopper models on feeding efficiency were investigated using the principles of the discrete element method. The findings indicate that the enhanced feed structure effectively addresses particle transportation issues within the printer. An increase in rotational speed is shown to improve the filling efficiency of the spiral groove, while simultaneously reducing the residence time of the particle material in the extruder, which in turn affects particle melting quality. By integrating the simulation data with experimental validation, an optimized printing structure was designed to fulfill the requirements of spiral extrusion printers.

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Discrete element simulation of the microscopic mechanical structure in sandpile

Cited by 12 publications

References 0 publications

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

Calibration of contact parameters of sandy soil for planting tiger nut based on non-linear tools

Calibration and Experimentation of Discrete Elemental Model Parameters for Wheat Seeds with Different Filled Particle Radii

Numerical Simulation and Optimization Design of Particle Transport in 3D Printers Spiral Extrusion 3D Printers

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