Mixing study of non-spherical particles using DEM

Saeed, Muhammad Kashif; Siraj, Muhammad Shafiq

doi:10.1016/j.powtec.2018.12.057

Cited by 53 publications

(18 citation statements)

References 28 publications

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“…As can be seen in this table, the shape of the particles significantly influenced the mixer performance, and the spherical particles obtained the highest diffusivity coefficient values in all directions (highest mixing performance). This result is consistent with what was observed in the literature regarding the effect of particles' shape on the mixing quality [8,31,32]. In addition, Figure 1 illustrates the side-view snapshots of the simulated mixer in various times for cubical and cylindrical particles.…”

Section: Effect Of Particles' Shape On the Mixing Performancesupporting

confidence: 90%

Investigation of Mixing Non-Spherical Particles in a Double Paddle Blender via Experiments and GPU-Based DEM Modeling

Jadidi

Ebrahimi

Ein‐Mozaffari

et al. 2022

The 1st International Electronic Conference on Processes: Processes System Innovation

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Section: Effect Of Particles' Shape On the Mixing Performancesupporting

confidence: 90%

Investigation of Mixing Non-Spherical Particles in a Double Paddle Blender via Experiments and GPU-Based DEM Modeling

Jadidi

Ebrahimi

Ein‐Mozaffari

et al. 2022

The 1st International Electronic Conference on Processes: Processes System Innovation

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“…Because of their nonspherical shape, new pharmaceutical formulations such as tripropylene glycol diacrylate have proved to have longer in vivo half-lives and are easily taken up by cells . At least 70 percent of granular raw materials are made up of nonspherical particles. − The complex dynamic behavior of nonspherical particles is not well understood owing to difficult contact detection and modeling. , It is common to use spherical-shaped particles instead of nonspherical ones to analyze significant problems like segregation, which is common in industry. However, this is generally inadequate.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of Mixing of Nonspherical Particles in a Vibrated Packed Bed Mixer

Yogi

Verma

Kumar

et al. 2021

Ind. Eng. Chem. Res.

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The effect of the shape of particles on mixing and segregation is studied in a vibrated packed bed mixer. Binary mixtures (unequal sized) of four types of nonspherical glass particles (cube, prolate, oblate, and elongated needle) with different aspect ratios are used alongside spherical particles. The overarching goal is to explore the effect of the nonsphericity of granules (particles > 2 mm) used in the food and pharmaceutical industries. The experimental studies analyze the mixing behavior based on the particle (shape and size) and system (frequency and amplitude) parameters. The results show the existence of a critical vibration intensity (Γ = 4.64) below which there is little mixing. In addition, the axial segregation index (SI) value is also significantly correlated to the random monodisperse packing fraction of coarse particles. The axial SI follows the decreasing trend: cube > sphere > oblate > prolate > elongated needle. Similarly, increasing the fine particles’ angularity from 0 to 0.15, the axial segregation is reduced from 0.40 to 0.24. The nonsphericity of particles reveals the tendency to mix more than spherical particles. These results have important industrial design implications and provide heuristics to reduce segregation by selecting the particle shape.

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“…The rst application of the combined CFD-DEM model was reported to be the solid particle plug ow in a horizontal tube [16], and then many others have been devoted to the analysis and simulation of various aspects of uidized beds using coupled CFD-DEM calculations [17]. In the coupled solution process, the ow eld is treated as a continuous phase and the solid phase is treated as a discrete phase, and the corresponding solutions for the ow eld and the particle phase are obtained by the coupled calculation of the two software [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of gas-solid two-phase flow and structure optimization of mobile shot blasting machine recovery device

Zhang

Men

Pan

et al. 2022

Preprint

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Purpose: To address the problem of low efficiency of recycling process waste by gas-solid two-phase flow of the shot blasting machine recycling device, a method and structure by increasing the negative pressure value and optimizing the outlet pipe position are proposed. Methods: Computational fluid dynamics (CFD), discrete element method (DEM) and discrete phase model (DPM) were used to study the waste recovery efficiency at different pressure outlet conditions and outlet pipe locations. The validity of the model was verified by velocity tests at the outlet and inlet compared with simulations. The effect of particle size and particle generation rate on solid particle recovery efficiency was further investigated by analyzing the flow field distribution of the recovery unit. The results show that: the maximum velocity of the gas phase in the recovery device increases with the increase of the absolute value of the outlet pressure, when the outlet pressure is -6500 Pa, the maximum velocity is 67.59 m/s. When the absolute value of the outlet pressure is greater than 6000 Pa, a small amount of steel shot particles is discharged from the recovery bin under the action of the outlet pressure, resulting in the loss of steel shot particles. After the outlet pipe position optimization, the steel shot particle recovery efficiency increased by 10% and the waste particle recovery efficiency increased by 18.9%.

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Mixing study of non-spherical particles using DEM

Cited by 53 publications

References 28 publications

Investigation of Mixing Non-Spherical Particles in a Double Paddle Blender via Experiments and GPU-Based DEM Modeling

Investigation of Mixing Non-Spherical Particles in a Double Paddle Blender via Experiments and GPU-Based DEM Modeling

Experimental Study of Mixing of Nonspherical Particles in a Vibrated Packed Bed Mixer

Analysis of gas-solid two-phase flow and structure optimization of mobile shot blasting machine recovery device

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