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.
Authors
- Qingzhan Li (ORCID: https://orcid.org/0000-0001-9262-1207)
- Yanpei Chen (ORCID: https://orcid.org/0000-0002-7075-409X)
- Wei Wang (ORCID: https://orcid.org/0000-0002-8290-1579)
- Lei Jiang (ORCID: https://orcid.org/0000-0002-1081-8522)
- Fei Li (ORCID: https://orcid.org/0000-0002-4238-9056)
Institutions
- Beijing Institute of Technology (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Institute of Process Engineering (CN)
- University of Chinese Academy of Sciences (CN)
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
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China