Experimental investigation of segregation in a rotating drum with non-spherical particles

Kumar, Sunil; Khatoon, Salma; Yogi, Jeetram; Verma, Sanjay Kumar; Anand, Anshu

doi:10.1016/j.powtec.2022.117918

Cited by 17 publications

(15 citation statements)

References 59 publications

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“…To comprehensively understand the radial segregation behavior of binary mixtures, it is essential to employ a dimensionless index to analyze. In the radial direction, the most commonly used index in the literature is the radial segregation index, , which is defined by dividing concentric circles with equal-space-like tree rings in a circular region and calculating the volume fraction in each annular region. The radial segregation is suitable for symmetrical structures such as cylindrical Freeman rheometers .…”

Section: Resultsmentioning

confidence: 99%

“…Particles of different sizes and densities in the drum will cause segregation, and segregation is also affected by the particle’s shape, the drum’s geometry parameters, the rotating speed, and the wall roughness. − Separation would cause problems, such as poorly formulated concrete, unmixed dried fruits in the food industry, and uneven pharmaceutical formulations. The mixing and segregation of particle flows have been extensively investigated using different methods, such as physical experiments and numerical simulations. − In terms of experiments, there are already some noninvasive advanced testing techniques that have been adopted, including nuclear magnetic resonance imaging (MRI), X-ray tomography, capacitance tomography, and positron emission particle tracking (PEPT) . However, the mentioned techniques are expensive.…”

Section: Introductionmentioning

confidence: 99%

“…Hlosta et al conducted drum experiments on binary mixtures, including spheres, cubes, and cylinders with different sizes and densities, to provide a PIV velocity field and snapshot verification for numerical simulations. Kumar et al . designed drum experiments on binary mixtures of spherical and nonspherical particles, including prolate, oblate, elongated needle, and cube, focusing on the influence of rotating speeds, particle shapes, densities, and sizes on radial segregation behavior.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing

Dai,

Xu,

Gao

et al. 2024

Ind. Eng. Chem. Res.

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Rotating drum experiments on binary mixtures of plastic spheres with wood spheres, wood cylinders, plastic cylinders, and wood cubes were investigated, respectively. A high-resolution camera was employed to record the flow behaviors of the binary mixtures. A machine learning-assisted image processing method was developed to segment the particles of different shapes, and its superiority was demonstrated by comparing the results with the pixel and artificial counting methods. This method was used to analyze the images recorded from binary mixture experiments to explore the effects of rotating speed, particle shape, and density differences on mixtures' radial and axial mixing and segregation behavior. The results show that the particle shape and density difference significantly affect the resolution angle of the binary mixture containing plastic spheres. In the radial direction, the degree of mixing of the binary mixtures containing wood spheres and cubes is not sensitive to speed. The degree of mixing of the binary mixture containing cylindrical particles increases linearly with the rotating speed within a specific range. The particle shape significantly affects the radial segregation of the binary mixtures. In contrast, the rotating speed has a negligible effect on the radial segregation of binary mixtures containing wood spheres, cylinders, and cubes.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing

Dai,

Xu,

Gao

et al. 2024

Ind. Eng. Chem. Res.

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“…However, non-spherical granular materials are commonly used in real-world applications. As a result, in recent years, there has been a significant increase in research on the effects of non-sphericity in granular materials 6,7,8,9,10 . Many industrial processes can be improved by understanding the fundamental behavior of non-spherical granular mixtures.…”

Section: Introductionmentioning

confidence: 99%

“…Many industrial processes can be improved by understanding the fundamental behavior of non-spherical granular mixtures. Verma et al 6 , Yogi et al 10 and Kumar et al 8 conducted experiments on the impact of particle shape on segregation in fluidized, vibrated packed beds, and rotating cylinder respectively. They discovered that particle shape plays a significant role in determining the extent of segregation in these systems.…”

Section: Introductionmentioning

confidence: 99%

Influence of aspect ratio of ellipsoidal particles on mixing in vibrated packed bed using DEM

Khatoon

Kumar

Yogi

et al. 2023

Preprint

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The uniform mixing of particles is crucial in many industrial applications. In industries, most granular materials are nonspherical, with ellipsoids being a common deviation from the sphere. The study employs the DEM model to investigate the mixing of a binary mixture in a vibrated packed bed with fixed amplitude and frequency. The study explores the behavior of the binary mixture of coarse and fine particles, with one particle being ellipsoid of aspect ratios (0.25-3.0) and the other being a sphere. The subdomain mixing index quantifies the mixing. The mixing of binary mixtures is determined by the aspect ratio of coarse and fine particles. The mixing efficiency is indicated by the average velocity of reference spherical particles, reflecting the convection strength within the bed. The results show higher average velocity in an ellipsoidal-sphere mixture than in a sphere-sphere mixture. The DEM results are validated with an identical experimental system.

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Influence of aspect ratio of ellipsoidal particles on mixing in vibrated packed bed using discrete element method

Khatoon,

Kumar,

Yogi

et al. 2024

AIChE Journal

Self Cite

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The uniform mixing of particles is crucial in many industrial applications. In industries, most granular materials are nonspherical, with ellipsoids being a common deviation from the sphere. The study employs the DEM model to investigate the mixing of a binary mixture in a vibrated packed bed with fixed amplitude and frequency. The study explores the behavior of the binary mixture of coarse and fine particles, with one particle being ellipsoid of aspect ratios (0.25–3.0) and the other being a sphere. The subdomain mixing index quantifies the mixing. The mixing of binary mixtures is determined by the aspect ratio of coarse and fine particles. The mixing efficiency is indicated by the average velocity of reference spherical particles, reflecting the convection strength within the bed. The results show higher average velocity in an ellipsoidal‐sphere mixture than in a sphere‐sphere mixture. The DEM results are validated with an identical experimental system.

show abstract

Experimental investigation of segregation in a rotating drum with non-spherical particles

Cited by 17 publications

References 59 publications

Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing

Measuring Spherical and Nonspherical Binary Particles: Mixing and Segregation in a Rotating Drum Using Machine Learning-Assisted Image Processing

Influence of aspect ratio of ellipsoidal particles on mixing in vibrated packed bed using DEM

Influence of aspect ratio of ellipsoidal particles on mixing in vibrated packed bed using discrete element method

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