Drag correlations for a particle-laden jet

In a dilute particle-laden jet, the drag force is the most important factor determining the momentum exchange between the gas and particles. In this work, different drag correlations are used to predict the jet velocity and compared with experimental data. In addition to our previously reported large-particle, high-Stokes-number jet case, the experimental data of small-particle, intermediate-Stokes-number jet are obtained with particle image velocimetry. The comparison shows that the prediction is sensitive to the choice of drag correlation. The LWL-E (Li & Wang & Li extrapolation) drag model derived from large-particle experiments is more suitable for predicting the velocity of large particles with high Stokes number, while the Rudinger-E model derived from small particle experiments is more suitable for the simulation of particle velocity of small particles with intermediate Stokes number. The standard drag model and the Gidaspow model overpredict slip velocity and underpredict particle velocity, and are not suitable for the particle velocity prediction in a dilute particle-laden jet.

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Publication Details

Journal
Physics of Fluids
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0251212
Citations
1
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
1.15

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article

Drag correlations for a particle-laden jet

Qingzhan Li, Yanpei Chen, Wei Wang, Lei Jiang et al.
1 citations
Physics of Fluids
Particle Dynamics in Fluid Flows
1.15
article

Drag correlations for a particle-laden jet

Qingzhan Li, Yanpei Chen, Wei Wang, Lei Jiang, Fei Li
article en
1 citations

Abstract

In a dilute particle-laden jet, the drag force is the most important factor determining the momentum exchange between the gas and particles. In this work, different drag correlations are used to predict the jet velocity and compared with experimental data. In addition to our previously reported large-particle, high-Stokes-number jet case, the experimental data of small-particle, intermediate-Stokes-number jet are obtained with particle image velocimetry. The comparison shows that the prediction is sensitive to the choice of drag correlation. The LWL-E (Li & Wang & Li extrapolation) drag model derived from large-particle experiments is more suitable for predicting the velocity of large particles with high Stokes number, while the Rudinger-E model derived from small particle experiments is more suitable for the simulation of particle velocity of small particles with intermediate Stokes number. The standard drag model and the Gidaspow model overpredict slip velocity and underpredict particle velocity, and are not suitable for the particle velocity prediction in a dilute particle-laden jet.

Physics of FluidsVol. 37(2)
Beijing Institute of Technology (CN), Beijing Academy of Artificial Intelligence (CN), Institute of Process Engineering (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 26%
Particle Dynamics in Fluid Flows
1.15
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