Effect of external factors on segregation of different granular mixtures

Panda, Saleema; Tan, Danielle

doi:10.1016/j.apt.2019.11.013

Cited by 5 publications

(7 citation statements)

References 42 publications

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“…They observed that the heavier particles tend to gather in the centre areas and that the extent of segregation is linear to the density ratio. In another study on an inclined plane, Tripathi and Khakhar (2013) observed that heavy particles sink to near the base, and light particles form a layer close to the free surface with a mixed region in between, which was confirmed in other studies (Panda and Tan, 2020a;Wang et al, 2018Wang et al, , 2023. Furthermore, they showed that higher density ratios result in stronger segregation.…”

Section: Particle Densitysupporting

confidence: 59%

“…In their work on the segregation of binary mixtures down an inclined plane, Tripathi and Khakhar (2011) found that varying size ratio does not affect the extent of segregation. In the case of a chute, Panda and Tan (2020a) observed that although the stream-wise, crossstream and vertical velocities all increase with increasing size ratio, the degree of segregation did not increase significantly in the stream-wise direction. Li et al (2022) studied the particle segregation in the throat of the blast furnace.…”

Section: Particle Sizementioning

confidence: 91%

“…The different types of mixtures that have been modelled and studied are shown in Fig. 3(c studies considered two or three components (Chibwe et al, 2020;Combarros et al, 2014;Hong et al, 2021;Ketterhagen et al, 2007;Kou et al, 2019;Li et al, 2022;Panda and Tan, 2020a;Pereira and Cleary, 2013;Shirsath et al, 2015;Terui et al, 2017;Xu et al, 2019), but they also simplified the mixtures by modelling mono-sized and mono-shaped components. In conclusion, although past DEM studies have attempted to shed light on segregation in granular materials, they have failed to represent the real-world complex mixtures which are mostly multi-component with each component having a size distribution and different particle shapes (Gao et al, 2021).…”

Section: Dem Parametermentioning

confidence: 99%

“…In the second stage, the material leaves the chute and trajectory segregation causes larger particles to travel further (Mio et al, 2008b). The effect of chute-related geometric parameters on segregation was researched by employing either a simple inclined plane (Zhao et al, 2022) (to minimise the effect of side walls) or a real 3D chute (Panda and Tan, 2020a).…”

Section: Chutesmentioning

confidence: 99%

“…Moreover, unlike trapezoid and rectangular chutes, the semi-circular chute was reported to maintain a uniform radial size distribution regardless of the chute angle and rotating speed. Panda and Tan (2020a; focused on the segregation inside the chute and compared the segregation between rectangular and semi-circular chutes. It was observed that the rectangular channel resulted in slightly higher segregation in the stream-wise direction, while there were barely any differences in cross-stream and vertical directions.…”

Section: Chutesmentioning

confidence: 99%

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DEM Modelling of Segregation in Granular Materials: A Review

Hadi,

Roeplal,

Pang

et al. 2024

KONA

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Segregation control is a challenging yet crucial aspect of bulk material handling processes. The discrete element method (DEM) can offer useful insights into segregation phenomena, provided that reliable models are developed. The main challenge in this regard is finding a good balance between including particle-level details and managing the computational load. This is especially true for industrial applications, where multi-component flows consisting of particles with various irregular shapes and wide size distributions are encountered in huge amounts. In this work, we review the state of the art in DEM modelling of segregation in industrial applications involving the gravity-driven flow of dry, cohesionless granular materials. We start by introducing a novel scientific notation to distinguish between different types of mixtures. Next, we review how parameters for mixture models are determined in the current literature, and how segregation is affected by material, geometric and operational parameters based on these models. Finally, we review existing segregation indices and their applicability to multi-component segregation. We conclude that systematic calibration procedures for segregation models are currently missing in the literature, and realistic models representing multicomponent mixtures have not yet been developed. Filling these gaps will pave the way for optimising industrial processes dealing with segregation.

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