Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM

This study investigates the interaction between airflow and low-density bulk particles within vertical screw conveyors and examines its impact on conveying performance. A combined simulation approach integrating the Discrete Element Method and Computational Fluid Dynamics was employed to model both single-phase particle flow and gas–solid two-phase flow. A periodic model was developed based on the structural characteristics of the conveyor. Particle motion dynamics under both single-phase and coupled two-phase conditions were analyzed using EDEM and coupled Fluent-EDEM simulations. The effects of key operational parameters, including screw speed, filling rate, and helix angle, on mass flow rate were systematically evaluated. A comprehensive performance index was established to quantify conveying efficiency, and its validity was confirmed through analysis of variance on the regression model. Finally, the response surface methodology was applied to optimize parameters and determine the optimal combination of screw speed and filling rate to enhance mass flow efficiency. The results indicate that the gas–solid two-phase flow model provides a more accurate representation of real-world conveying dynamics. Future research may extend the model to accommodate more complex material conditions.

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Publication Details

Journal
Fluids
Published
2025-06-30
DOI
https://doi.org/10.3390/fluids10070171
Citations
2
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
1.43
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article

Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM

Xiao Mei, Xiaoyu Fang, Liyang Zhang, Yuan Tian et al.
2 citations
Fluids
Mineral Processing and Grinding
1.43
article

Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM

Xiao Mei, Xiaoyu Fang, Liyang Zhang, Yuan Tian, Yandi Wang
article en
2 citations

Abstract

This study investigates the interaction between airflow and low-density bulk particles within vertical screw conveyors and examines its impact on conveying performance. A combined simulation approach integrating the Discrete Element Method and Computational Fluid Dynamics was employed to model both single-phase particle flow and gas–solid two-phase flow. A periodic model was developed based on the structural characteristics of the conveyor. Particle motion dynamics under both single-phase and coupled two-phase conditions were analyzed using EDEM and coupled Fluent-EDEM simulations. The effects of key operational parameters, including screw speed, filling rate, and helix angle, on mass flow rate were systematically evaluated. A comprehensive performance index was established to quantify conveying efficiency, and its validity was confirmed through analysis of variance on the regression model. Finally, the response surface methodology was applied to optimize parameters and determine the optimal combination of screw speed and filling rate to enhance mass flow efficiency. The results indicate that the gas–solid two-phase flow model provides a more accurate representation of real-world conveying dynamics. Future research may extend the model to accommodate more complex material conditions.

FluidsVol. 10(7)
People’s Hospital of Rizhao (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 19%
Mineral Processing and Grinding
1.43
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Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM — Xiao Mei, Xiaoyu Fang, et al. · Fluids (2025) | TGRS Research Map | TGRS