Influence of particle size and blender size on blending performance of bi-component granular mixing: A DEM and experimental study

Tanabe, Shigeru; Gopireddy, Srikanth R.; Minami, Hidemi; Ando, Shuichi; Urbanetz, Nora Anne; Scherließ, Regina

doi:10.1016/j.ejps.2019.04.024

Cited by 16 publications

(5 citation statements)

References 26 publications

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“…It could be seen from the verification test images that the brown rice particles moved in a circular motion with the tank. The moving area of brown rice particles was divided into active area and fixed area under the rolling mechanism [26] . The lower area of particles was a fixed area, and there was no relative movement between particles.…”

Section: Comparison Of Particle Mixing Morphology Between Verificatio...mentioning

confidence: 99%

Discrete element simulation of the grain mixing law in brown rice germination device

Yan,

Xie,

Bai

et al. 2024

International Journal of Agricultural and Biological Engineering

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The discrete element method (DEM) was used in this study to numerically simulate the mixing process and motion law of particles in brown rice germination device. And the reliability of simulation experiments was verified through physical experiments. In the discrete element simulation experiment, there were three mixing stages in the mixing process of the particles. The particle motion conditions at different rotational speeds were rolling, cascading, cataracting and centrifuging. The lower the filling degree, the higher the particle mixing efficiency. The radial trajectory of the particles was approximated as an elliptical helix that continuously shrank towards the axis. The research results indicated that under the same speed and filling conditions, the motion of brown rice particles in both the simulated and physical test environments is rolling and the drop height is the same.

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Section: Comparison Of Particle Mixing Morphology Between Verificatio...mentioning

confidence: 99%

Discrete element simulation of the grain mixing law in brown rice germination device

Yan,

Xie,

Bai

et al. 2024

International Journal of Agricultural and Biological Engineering

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“…However, tilting the blender at a specific angle can considerably enhance the mixing efficiency. Tanabe et al (2019) utilised DEM to assess the impact of an increase in particle size and a reduction in blender geometry on the uniformity of the blend. The study revealed that the variation in particle size among components resulted in the segregation of the three blends, as evidenced by the diverse standard deviation of active ingredient content.…”

Section: Simulation Work Of Tumbler Mixersmentioning

confidence: 99%

Current Progress of Experimental and Simulation Work of Mixing Processes in Particulate Systems

Jin,

Shen

2024

KONA

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Particle mixing is a fundamental process used in various industries to handle powders, granules, and pellets. Understanding particle mixing is critical for optimizing industrial processes involving particulate systems, making it an important scientific and practical consideration. In this review, the current research progress of experimental and simulation works for widely used tumbler and convective mixers is reviewed, and research gaps are summarized for future investigations. Finally, some new development points of modern particle mixing technologies and topics are mentioned. This paper provides a comprehensive review of the research work of mixers in particulate systems and sheds light on future research in the field of particle mixing.

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“…Separation of particulate materials is commonly encountered in mineral processing. The classification of particle mixtures according to particle sizes is always a crucial procedure for subsequent processes. – Screening, or sieving, is the basic technology for the size classification of granular ores. – So far, various kinds of screening equipment have been invented for the grading of different granular materials. – In order to achieve uniform particle mass distribution on the screening equipment, which would yield better sieving performance at all screen panels and hence improve the overall efficiency, the concept of equal thickness screening was proposed. – This has been realized through two kinds of methods. One is to use variable inclination angles of the screen panels, such as the banana screens and sieve bends, , and the other is to use multiaxial excitation of screen panels with variable amplitudes, which has the advantages of low participating mass of the screen body but high throwing intensity .…”

Section: Introductionmentioning

confidence: 99%

Particle Behavior and Aperture Optimization of Variable Vibration-Amplitude Screening Based on Discrete Element Method Simulation

Qiao,

Yang,

2023

ACS Omega

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Recently, some novel screens were proposed based on the improved understanding of screening processes from particle-scale studies, one of which is the novel variable amplitude equal thickness vibration screen (VAETVS). This paper presents an investigation of using different aperture sizes to further optimize the VAETVS by the discrete element method (DEM). The screen was divided into three panels, and the aperture size of each panel was varied in the simulation. The particles’ dynamics and spatial distribution were investigated to better understand the effects of varied amplitudes and aperture sizes on the screening efficiency. The results showed that the VAETVS can be effectively optimized by varied amplitude as well as varied aperture size for different screen panels. The amplitude variance is more effective for hard sieve particles and hindrance particles. It is also found that from the feed end to the discharge end, the difference in the distribution of particle mass between the coarse particles and the fine particles increases. Generally, such a difference can be increased with increasing aperture sizes. However, the effects of the apertures of the different panels were not the same. The simulated data were further analyzed by the Box-Behnken response surface method, which gave a mathematical model to predict the screening efficiency η with the varied apertures. From the model, the optimal aperture sizes are 7.5, 7.58, and 6.81 mm, yielding the maximum screening efficiency of 86.35%, and the optimal opening areas for the three panels are 35, 40, and 40%, respectively, yielding the maximum screening efficiency of 87.82%.

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Influence of particle size and blender size on blending performance of bi-component granular mixing: A DEM and experimental study

Cited by 16 publications

References 26 publications

Discrete element simulation of the grain mixing law in brown rice germination device

Discrete element simulation of the grain mixing law in brown rice germination device

Current Progress of Experimental and Simulation Work of Mixing Processes in Particulate Systems

Particle Behavior and Aperture Optimization of Variable Vibration-Amplitude Screening Based on Discrete Element Method Simulation

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