Translation and rotation of particles in different flow pattern areas of a silo

Li, Ran; Chen, Quan; Li, Hongze; Xiu, W.Z.; Zivkovic, Vlad; Yang, Hui

doi:10.1016/j.partic.2022.04.005

Cited by 5 publications

(2 citation statements)

References 32 publications

(29 reference statements)

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“…However, when the height of the silo is less than 110 mm, the angular velocity values at different X-axis positions are significantly different. It is worth noting that, compared with the simulation results [27], the numerical value of the rotation speed is much smaller than the simulation value, which indicates that the particles with different diameter sizes have a direct impact on the rotation, and the particles with small diameter have greater rotation than the particles with large diameter.…”

Section: Velocity Of Rotationmentioning

confidence: 71%

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Dai,

Li,

Wang

et al. 2024

IEEE Access

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Magnetic positioning technology is a novel and direct method to measure the attitude and position information of discrete particles in dense granular flow. However, owing to the need to manually set the initial value and other boundary conditions in the process of algorithm solution, the deviation between the measured results and actual values cannot be ignored. To solve this problem, a hybrid optimization algorithm of particle swarm optimization algorithm and sequential quadratic programming algorithm (PSO-SQP) is proposed in this paper, which combines the advantages of PSO algorithm being insensitive to initial value with the advantages of SQP algorithm being fast and accurate to solve magnetic positioning parameters. The attitude calculated by magnetic positioning and calculated by inertial measurement are fused together through Kalman filter to accurately measure the attitude of discrete particles. The static experiments show that PSO-SQP can solve the position without setting the initial value. Meanwhile, the attitude accuracy is improved by data fusion. Finally, the method is applied to measure the motion of discrete particles in a 3D silo, and it is observed that the method can accurately obtain the information of the spatial position, translational motion, and rotational motion of the discrete particles in the silo. The experimental results reveal the laws of motion of granular flow in the silo, and provide data reference for improving the storage and transportation of particle materials in industrial production process.

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Section: Velocity Of Rotationmentioning

confidence: 71%

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Dai,

Li,

Wang

et al. 2024

IEEE Access

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“…Granular materials are widely used in industrial and agricultural processes, including food, pharmaceutical and chemical industries [1][2][3][4], where the gravity flow discharge of particles from silos is a major area of interest for its close relation to production efficiency [5]. Previous research is mainly focused on flow patterns [6,7], stress fields [8,9], velocity profiles [10], mass flow rate [11] and so on [12]. Most of them are image-based methods and would be affected by the transparency of particles [13,14].…”

Section: Introductionmentioning

confidence: 99%

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Zhu,

Xu,

Zheng

et al. 2023

Processes

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As the primary carrier for storing and transporting particles, the silo is widely used in the production process. The RTD is a promising method for studying the silo discharge process and has not been studied enough. This paper presents a study on the residence time distribution (RTD) and flow pattern of particles in a two-dimensional flat-bottom batch discharge silo under gravity using experiments and the discrete element method (DEM). Meanwhile, a multi-simulation averaging method is proposed to eliminate local fluctuations in the residence time. The results are as follows. The mean flow rate is 16.85 g·s−1 in simulations, which is only 2.7% larger than the experimental value. In the central area of the silo, the residence time contour lines take on elliptical shapes and the trajectories of particles are straight lines. The particles are distributed along the elliptical residence time contour lines all the time during the discharge process until they flow out of the silo. The particles near the side wall of the silo swiftly flow with a constant acceleration to the central line of the silo along the upper horizontal surface, which has become avalanche slopes, and then flow down the outlet together with the particles in the radial flow region. In this study, an elliptical distribution law during the silo discharge process was funded for the first time. An improved radial flow model was proposed with a higher accuracy and clearer physical meaning, which will be helpful in silo design and scaling up in industrial applications.

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Macro-microscopic dynamic characteristics of the ballast bed induced by the variation of moisture content

Wang,

Fu,

Qiu

et al. 2024

Particuology

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Translation and rotation of particles in different flow pattern areas of a silo

Cited by 5 publications

References 32 publications

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Macro-microscopic dynamic characteristics of the ballast bed induced by the variation of moisture content

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