2019
DOI: 10.1016/j.cherd.2019.02.006
|View full text |Cite
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
17
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 49 publications
(17 citation statements)
references
References 48 publications
0
17
0
Order By: Relevance
“…The main settings of the RSM, VOF, and TFM models applied herein are summarized in Table 1, and more details of these models can be found in the literature. 55,56 Figure 1 illustrates the present Eulerian−Eulerian simulation strategy. First, the multiphase flow field of the water−air is established.…”
Section: Cfd Simulation Methods 211 Simulation Modelmentioning
confidence: 99%
See 2 more Smart Citations
“…The main settings of the RSM, VOF, and TFM models applied herein are summarized in Table 1, and more details of these models can be found in the literature. 55,56 Figure 1 illustrates the present Eulerian−Eulerian simulation strategy. First, the multiphase flow field of the water−air is established.…”
Section: Cfd Simulation Methods 211 Simulation Modelmentioning
confidence: 99%
“…The drift velocity u dr, ki is achieved from the algebraic model u dr , italicki = ( ρ k ρ m ) d k 2 18 μ 1 f normald normalr normala normalg a k , i η t σ t true( α k α k α 1 α 1 true) k = 1 n α k ρ k u 1 k , i ρ normalm where η t is the turbulent diffusivity, σ t is the Prandtl/Schmidt number and set to 0.75, a k,I is the acceleration of phase k , and d k is the bubble and particle diameter of phase k. f drag is the drag force function for the secondary phase. The main settings of the RSM, VOF, and TFM models applied herein are summarized in Table , and more details of these models can be found in the literature. , …”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The principle of gravitational classifiers is based on the fact that the particles suspended in a flowing fluent, usually air or water, move towards different points under the influence of different forces, so that they can be separated from one another [18,19]. Particles experience gravity and drag forces acting in opposite directions.…”
Section: Introductionmentioning
confidence: 99%
“…Jiang et al [18,19] carried out a detailed study to show that there were fewer fine particles in the underflows of hydrocyclones with parabolic cones, than in traditional hydrocyclones. To overcome ultrafine particle classification problems in traditional hydrocyclones, Ye et al [20] investigated the cross-section of a conical section and designed a multi-section composite cone. In our previous research, a new type of W-shaped hydrocyclone ( Figure 1) was proposed to address the problem of "fish-hook" [21].…”
Section: Introductionmentioning
confidence: 99%