Novel conical section design for ultra-fine particles classification by a hydrocyclone

Radial drag acceleration (force) profile in hydrocyclones with different modified cone designs (SC = 10%wt, 5 μm particle phase). [Display omitted] •Numerical study of hydrocyclone classification by Eulerian–Eulerian method.•Long or short cone has own advantage in coarse/fine particle classification...

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Veröffentlicht in:Chemical engineering research & design 2019-04, Vol.144, p.135-149
Hauptverfasser: Ye, Junxiang, Xu, Yanxia, Song, Xingfu, Yu, Jianguo
Format: Artikel
Sprache:eng
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Zusammenfassung:Radial drag acceleration (force) profile in hydrocyclones with different modified cone designs (SC = 10%wt, 5 μm particle phase). [Display omitted] •Numerical study of hydrocyclone classification by Eulerian–Eulerian method.•Long or short cone has own advantage in coarse/fine particle classification.•Combination of novel multi cone and arc inlet improves classification sharpness.•Numerical dynamics analysis is carried out to explain the performance. To overcome the limitation of the conventional hydrocyclone for the ultra-fine particles classification, the novel conical section design of the hydrocyclone is computationally investigated in this work. The electrolytic manganese dioxide (EMD, MnO2) powder, whose size is in the range from 0.2 μm to 70 μm, is took as a study case, and the feed solid concentration (SC) is up to 20%wt. The conical section with the modified cone design is proposed to enhance the performance of hydrocyclones. In addition, all the hydrocyclones are equipped with an arc inlet to obtain the pre-classification effect. The micron particles classification with the demarcation at 5 μm is accomplished in the novel hydrocyclone as the classification sharpness (Ss) is improved from 0.833 to 0.938 at the feed solid concentration of 5% wt. The combination of moderate conical length and modified cone with wide radial space near spigot is the outline of the high classification sharpness hydrocyclone. The dynamics analysis illustrates that the classification performance is attributed to the comprehensive effects of force, residence time, and separation space.
ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2019.02.006