Discrete element method simulation of rice grain motion during discharge with an auger operated at various inclinations

Wang, Jinwu; Xu, Changsu; Xu, Wenlong; Fu, Zuodong; Wang, Qi; Tang, Han

doi:10.1016/j.biosystemseng.2022.08.020

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…The discrete element method (DEM), which fully considers the influence of soil particles' physical parameters and their distribution in particle flow, is widely used to simulate the interaction between soil and soil contact components in the field. This method allows the contact and destruction between the particles of the materials and can effectively simulate microdeformation between materials [12][13][14][15][16]. Han et al [17] used theoretical calculations, the discrete element method, and field tests to optimize the parameters of a hole former.…”

Section: Introductionmentioning

confidence: 99%

Experimental Research and Analysis of Soil Disturbance Behavior during the Hole Drilling Process of a Hanging-Cup Transplanter by DEM

Zeng

Bai

et al. 2023

Processes

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This study provides a basis for designing and optimizing the key components of hanging-cup transplanters. The discrete element method, a high-speed photography test, and indoor soil bin tests were used to explore soil disturbance behavior during the hole drilling process. A comparative analysis of the discrete element method and the high-speed photography test indicated that soil particles are mainly affected by the coupled effects of the shear force and the squeezing force of the planter. The soil disturbance range in the horizontal and longitudinal sections gradually increases with the movement of the planter. The change in the soil particle velocity of the horizontal and longitudinal sections in different zones shows a trend of first increasing, then decreasing, and finally stabilizing. The velocity of soil particles in the longitudinal section varies significantly in the direction of burial. The soil in the horizontal section mainly moves to both sides when the duckbill is opened. The closer the soil particles are to the outer wall of the duckbill, the greater the change in velocity is. The soil bin tests and simulations were carried out under different conditions, but the change trend of the simulation results is consistent with the soil bin test results, proving that the simulation model is reliable. With the forward speed of the transplanter, planting depth, and soil compactness as the test factors, and the hole depth and hole longitudinal length as the response values, an orthogonal test of three factors and three levels was designed. A regression model between each element and response value was established. The optimal parameter combination was obtained when the forward speed was 1.25 km/h, the planting depth was 80 mm, and the soil firmness was 140~150 (N/cm2); these results were experimentally verified.

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Section: Introductionmentioning

confidence: 99%

Experimental Research and Analysis of Soil Disturbance Behavior during the Hole Drilling Process of a Hanging-Cup Transplanter by DEM

Zeng

Bai

et al. 2023

Processes

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“…Discrete element simulation is a valuable tool in problem solving, especially with the advancement of computer simulation capabilities. When researching the mechanism of the harm caused by marijuana, it is especially appropriate [6,7]. In recent years, scholars have used the discrete element method to study plug seedlings' pot damage and matrix loss.…”

Section: Introductionmentioning

confidence: 99%

Establishment of the Interaction Simulation Model between Plug Seedlings and Soil

Zeng,

Cui,

et al. 2023

Agronomy

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Currently, the simulation parameters for the model of the interaction between the transplanter, the plug seedlings, the soil, and the pot damage mechanism still need to be clarified. The optimization design of the planters and the improvement of planting quality are still urgent issues that need to be solved. In this paper, the simulation parameters of the pot and the soil were calibrated based on the pressure distribution measurement technology. With the actual collision impact force and matrix loss rate as the targets, a four-factor, three-level orthogonal test was designed to obtain the optimal parameters. Through the optimization analysis of the experimental results, it could be concluded that the pot–soil restitution coefficient, the pot–soil static friction coefficient, the pot–soil rolling friction coefficient, and the surface energy were 0.31, 0.88, 0.35, and 1.07 J/m2, respectively. The experimental verification of the optimal parameter combination showed that the relative error of the collision impact force was 1.65% and that the relative error of the matrix loss rate was 2.32%, which verified the model’s reliability. Based on the optimal parameters, the movement law of the hole tray seedlings was studied at different positions during the transplanting process. The plug seedlings collided not only with the planter but also with the soil, which led to the breakage and looseness of the pot structure. The relative error between the matrix loss rate of the transplanter inserting soil, the matrix loss rate of the transplanter that did not enter the soil, and the simulated matrix loss rate was less than 10%, which further proved the accuracy of the simulation model.

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“…DEM simulation models have been used to successfully describe the dynamic behaviors of discontinuous and heterogeneous granular media [10,11]. DEM applications in the field of food science have increased in recent years, such as the discharging behaviors of maize grains [11], discharging flow rates of rapeseed through orifices of various sizes [12], discharging process of soybeans with different geometries [13], and accumulation after discharging of rice grains with various moisture content [14]. However, discharging studies and DEM simulations of grains with high variations in the moisture content (e.g., dried to fully soaked state) in practical food processing are scarcely available.…”

Section: Introductionmentioning

confidence: 99%

Determination and Validation of Discrete Element Model Parameters of Soybeans with Various Moisture Content for the Discharge Simulation from a Cylindrical Model Silo

Jung

Yoon

2022

Processes

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This study investigates the physical parameters that affect the flow patterns of soybeans with various moisture content (12% to 60%) at varying orifice sizes (20, 40, and 60 mm) in a cylindrical silo. The flow conditions required to obtain a steady mass flow during discharge were evaluated via experiments and three-dimensional discrete element method (DEM) simulation. The discharged mass flow rates at different flow conditions provided the critical size of the orifice. If the reduced diameter (Dred) of an orifice is >5.59, the flow showed a steady state. Based on the mass flow index (MFI), the flow patterns at 40% and 60% moisture content at 40 and 60 mm orifice sizes, respectively, showed funnel flows. although these flow conditions were satisfied to maintain a steady flow. The maximum wall pressure for the funnel flow showed the location of the interlocking phenomenon where the stagnant zone began during discharging. DEM simulation was validated through the mass profiles using the parameters obtained by the experiments. This study demonstrates that the experimental and analytical results with DEM simulation predict the flow behaviors of soybeans well at various moisture contents. These results are useful for designing silos for continuous food processing.

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Discrete element method simulation of rice grain motion during discharge with an auger operated at various inclinations

Cited by 10 publications

References 37 publications

Experimental Research and Analysis of Soil Disturbance Behavior during the Hole Drilling Process of a Hanging-Cup Transplanter by DEM

Experimental Research and Analysis of Soil Disturbance Behavior during the Hole Drilling Process of a Hanging-Cup Transplanter by DEM

Establishment of the Interaction Simulation Model between Plug Seedlings and Soil

Determination and Validation of Discrete Element Model Parameters of Soybeans with Various Moisture Content for the Discharge Simulation from a Cylindrical Model Silo

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