Study on Separation Density of Feeding Group Particle in the Gas–Solid Separation Fluidized Bed

Gas–solid separation fluidized bed are an efficient coal cleaning and separation technology, and this technology has been extensively used in coal separation. The separation of the feeding coal particles in the fluidized bed is generally carried out in the form of particle groups, hence, a systematic examination of stratification as well as diffusion of the feeding particle group in the gas–solid separation fluidized bed is required. Simulated particles are used in this study and the technique that combines both theoretical calculation and an experimental method is used to investigate the effect of the inherent properties of the feeding particle group, bed characteristics, and operating parameters on the variation in voidage and air drag force in the separation process. According to the correlation between the separation density of the single-component particle group and the voidage of the gas–solid separation fluidized bed, the ρG.drag (change in separation density brought about by the upward airflow drag force during particle group fluidized bed separation) prediction model of the single-component spherical feeding particle group in the gas–solid separation fluidized bed is developed with the correction of voidage. When the prediction error of the ρG.drag prediction model is 10%, the confidence degree is 90.00%. Based on the particle segregation model and the ρG.drag prediction model, the separation density prediction model for the single-component spherical feeding particle group in the gas–solid separation fluidized bed is proposed. On this basis, the separation density prediction model for the single-component non-spherical feeding particle group in the gas–solid separation fluidized bed is further introduced. The separation density prediction model provides critical guidance for optimizing the gas–solid fluidized bed separation process.

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Publication Details

Journal
Separations
Published
2025-12-26
DOI
https://doi.org/10.3390/separations13010012
Primary Topic
Granular flow and fluidized beds
Type
article
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article

Study on Separation Density of Feeding Group Particle in the Gas–Solid Separation Fluidized Bed

Xuchen Fan, Y. T. Li, Liying Sun, Yongliang He et al.
Separations
Granular flow and fluidized beds
article

Study on Separation Density of Feeding Group Particle in the Gas–Solid Separation Fluidized Bed

Xuchen Fan, Y. T. Li, Liying Sun, Yongliang He, Yuping Fu
article en

Abstract

Gas–solid separation fluidized bed are an efficient coal cleaning and separation technology, and this technology has been extensively used in coal separation. The separation of the feeding coal particles in the fluidized bed is generally carried out in the form of particle groups, hence, a systematic examination of stratification as well as diffusion of the feeding particle group in the gas–solid separation fluidized bed is required. Simulated particles are used in this study and the technique that combines both theoretical calculation and an experimental method is used to investigate the effect of the inherent properties of the feeding particle group, bed characteristics, and operating parameters on the variation in voidage and air drag force in the separation process. According to the correlation between the separation density of the single-component particle group and the voidage of the gas–solid separation fluidized bed, the ρG.drag (change in separation density brought about by the upward airflow drag force during particle group fluidized bed separation) prediction model of the single-component spherical feeding particle group in the gas–solid separation fluidized bed is developed with the correction of voidage. When the prediction error of the ρG.drag prediction model is 10%, the confidence degree is 90.00%. Based on the particle segregation model and the ρG.drag prediction model, the separation density prediction model for the single-component spherical feeding particle group in the gas–solid separation fluidized bed is proposed. On this basis, the separation density prediction model for the single-component non-spherical feeding particle group in the gas–solid separation fluidized bed is further introduced. The separation density prediction model provides critical guidance for optimizing the gas–solid fluidized bed separation process.

SeparationsVol. 13(1)
Taiyuan University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Granular flow and fluidized beds
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