期刊
POWDER TECHNOLOGY
卷 400, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.powtec.2022.117250
关键词
Axial direction classifier; Isokinetic sampling; Computational fluid dynamics; Separation efficiency; Rankine vortex
资金
- National Natural Science Foundation of China [U1504217, 51676064, 51306046]
- Innovative Research Team of Henan Polytechnic University [T2020-3]
This study investigates the flow field and classification performance of the axial direction classifier through numerical simulation and experimental measurement. The findings show that tangential velocities have a dominant influence on the radial distribution of particles, while axial velocities determine their vertical distribution. Velocity distributions and turbulence primarily affect the separation efficiency.
In order to obtain the working principle of the axial direction classifier and raise its separation efficiency, the flow field and classification performance of the classifier was investigated by numerical simulation and experimental measurement. The particle size distribution at inlet, outlet and return pipe was measured by laser particle size analyzer and coupled with Rosin-Rammler model. The particle trajectory was analyzed using the discrete phase model. The tangential velocities played a dominant role in particles radial distribution mainly in the form of Rankine vortex. The axial velocities determine the vertical distribution of particles. The velocity distribu-tions and turbulence influence the cutting particle size and separation efficiency mostly. The most suitable con-dition is baffles angle of 20 degrees and inlet velocity of 19.3 m/s considering the load of the mill and the fineness of the pulverized coal at the inlet of the classifier. (c) 2022 Elsevier B.V. All rights reserved.
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