Simulation and experiment of rice cleaning in air-separation device based on DEM-CFD coupling method

Ma, Xuedong; Zhao, Lei; Guo, Bingjiang; Dang, He

doi:10.25165/j.ijabe.20201305.5225

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…The sorting process is shown in Figure 2. The working process of the device includes the feeding process, negative pressure air supply process and sorting process [16,17]. The sorting process is shown in Figure 2.…”

Section: Structure and Working Principle Of The Air-separation Devicementioning

confidence: 99%

Simulation and Experiment of Gas-Solid Flow in a Safflower Sorting Device Based on the CFD-DEM Coupling Method

Hai-feng

et al. 2021

Processes

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To study the movement characteristics and separation mechanism of safflower petals and their impurities under the action of airflow and lower the impurity rate in the cleaning operation process, integration of computational fluid dynamics (CFD) and discrete element method (DEM) codes was performed to study the motion and sorting behavior of impurity particles and safflower petals under different airflow inclination angles, dust removal angles and inlet airflow velocities by establishing a true particle model. In this model, the discrete particle phase was applied by the DEM software, and the continuum gas phase was described by the ANSYS Fluent software. The Box-Behnken experimental design with three factors and three levels was performed, and parameters such as inlet airflow velocity, airflow inclined angle, and dust remover angle were selected as independent variables that would influence the cleaning impurity rate and the cleaning loss rate. A mathematical model was established, and then the effects of various parameters and their interactions were analyzed. The test results show that the cleaning effect is best when the inlet airflow velocity is 7 m/s, the airflow inclined angle is 0°, and the dust remover angle is 25°. Confirmatory tests showed that the average cleaning impurity rate and cleaning loss rate were 0.69% and 2.75%, respectively, which dropped significantly compared with those from previous optimization. An experimental device was designed and set up; the experimental results were consistent with the simulation results, indicating that studying the physical behavior of safflower petals-impurity separation in the airflow field by using the DEM-CFD coupling method is reliable. This result provides a basis for follow-up studies of separation and cleaning devices for lightweight materials such as safflower petals.

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Section: Structure and Working Principle Of The Air-separation Devicementioning

confidence: 99%

Simulation and Experiment of Gas-Solid Flow in a Safflower Sorting Device Based on the CFD-DEM Coupling Method

Hai-feng

et al. 2021

Processes

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“…DEM has been widely employed in recent years in the field of agricultural material screening, reducing test costs and improving the efficiency [8] . The applications of DEM include the simulation and analysis of the vibrating screening process, the investigation of motion law, the screening and screening mechanism of single and group particles on the vibrating screen [9][10][11][12] , analyzing the influence of the vibrating screen working parameters on the particle motion and screening performance, and optimizing the vibrating screen working parameters [13][14][15][16] . However, DEM is only able to simulate simple motion forms, while complex and adjustable motion forms prove to be too difficult for this approach.…”

Section: Introductionmentioning

confidence: 99%

BP neural network model for material distribution prediction based on variable amplitude anti-blocking screening DEM simulations

Ma,

Zhu,

et al. 2023

International Journal of Agricultural and Biological Engineering

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The material feeding changing of combine harvester is easy to cause accumulation and blockage of the vibrating screen, which seriously affects the harvest operation. In order to alleviate such accumulation and blockages on the vibrating screen surface, the guide chute rotation angle of the improved variable amplitude screening mechanism was selected as the target variable, and EDEM-RecurDyn was employed to simulate the anti-blocking process of the variable amplitude under a changing feeding quantity (0.5 kg/s abnormal, 0.2 kg/s normal) of materials (rice grain and stem mixture). A BP (an error back propagation algorithm) neural network was designed and the prediction model of the material distribution was subsequently constructed on the variable screening surface under different chute angles during abnormal feeding. The results revealed a continuous decrease in the quality and time of the material blockage at the front end of the screen surface with the increasing guide chute angle. At the guide chute angle of 20°-45° and adjustment time of 3-6 s, the blocked and accumulated materials at the front-end screen surface was be moved back to Grid 6 for screening. However, overtime, the screen surface materials continued to move back under the chute angle of 40°-45°, which had a great impact on the screening performance. At the guide chute angle of 30°-35° and adjustment time of 4 s, the materials on the screen surface were evenly distributed in Grid 1-6. This was able to alleviate the accumulation and blockage of the screen surface materials. The R of the material distribution prediction model (BP neural network) on the screen surface was determined as 0.97, indicating the high reliability and accuracy of the material distribution model on the screen surface based on the BP neural network. This work provides an important reference for the variable amplitude intelligent control of screen surface material anti-blocking.

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“…The DEM-CFD (Discrete Element Method-Computational Fluid Dynamics) method is a computational method that can characterize the particle geometry, collision motion, and other properties, also analyse the fluid distribution based on a multiphase flow model [16,17], which is more comprehensive than the traditional gassolid two-phase flow model for the simulation of fluid-particle systems. In this paper, the separation behaviour of polypropylene particles is simulated using the coupled DEM-CFD method.…”

Section: Introductionmentioning

confidence: 99%

Separation behaviour of polypropylene mixed particles under the coupling of vibration and airflow

Zhao¹,

Ma²

2022

Phys. Scr.

Self Cite

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Granular matter is a disordered system composed of a large number of particles, which appears as a complex physical phenomenon under external excitation. To study the separation behaviour of polypropylene particles, the separation of particles under various excitation methods was simulated based on the DEM-CFD coupling method. The results showed that polypropylene particles did not show Reverse Brazil Nut Separation under the single excitation of either vertical vibration or pulsed airflow, while under the double excitation of vertical vibration and constant airflow, the large particles located in the upper layer of small particles started to sink and formed Reverse Brazil Nut Separation. By analysing the change of voidage in particle bed, the explanation of the change of particle separation state by filling theory is verified. The airflow velocity increased from 15 m/s to 21 m/s, and the volume concentration of large particles at the bottom increased by 27.615%, which promoted the formation of Reverse Brazil Nut Separation. The frequency and amplitude increased to 15 Hz, 20 mm or decreased to 5 Hz, 5 mm, respectively, and the volume concentration of large particles at the bottom decreased by 22.025%, 23.807% and 46.712%, 59.003%, indicating that too large or too small vibration acceleration would inhibit the formation of Reverse Brazil Nut Separation. In addition, changing the shape of the container or increasing the filling rate of particles in the container can eliminate the phenomenon of small particles accumulating in the corner.

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Simulation and experiment of rice cleaning in air-separation device based on DEM-CFD coupling method

Cited by 5 publications

References 23 publications

Simulation and Experiment of Gas-Solid Flow in a Safflower Sorting Device Based on the CFD-DEM Coupling Method

Simulation and Experiment of Gas-Solid Flow in a Safflower Sorting Device Based on the CFD-DEM Coupling Method

BP neural network model for material distribution prediction based on variable amplitude anti-blocking screening DEM simulations

Separation behaviour of polypropylene mixed particles under the coupling of vibration and airflow

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