Analysis of Particle Distribution and Aggregation Characteristics in a Hydrocyclone with a Complex Curved Inlet Structure Article Swipe
H J Yang
,
Fanping Meng
,
Shuilin Wang
,
Zhitao Liang
,
Lizhao Wei
,
Yu Ge
,
Yuting Fu
,
Feng Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/pr13113540
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/pr13113540
The utilization of hydrocyclones dates back more than a century. As the key channel for multiphase flow, the inlet chamber exerts a notable influence on the separation efficiency of hydrocyclones. Conventional feed bodies mainly adopt straight lines as guidelines. During the transition of fluid from linear motion to circumferential motion, significant kinetic energy loss and particle misalignment are exhibited, resulting in relatively low classification accuracy of the hydrocyclone. Therefore, in this study, a hydrocyclone featuring a complex curved inlet chamber structure was designed, and numerical analysis was employed to examine the particle distribution and aggregation characteristics within both the inlet chamber and the hydrocyclone. Supplemented with RSM/VOF/TFM simulations and quartz sand experimental validation, this study compares the separation performance of the complex curved inlet with the conventional linear inlet. The results indicate the following: when particle sizes are small, particles are dispersed throughout the hydrocyclone and inlet chamber, exhibiting a disordered state, which leads to poor classification performance. As particle size increases, particles gradually form layers along the radial direction; larger particles tend to accumulate on the hydrocyclone wall. When the particle concentration is maintained within a specific range, it promotes the migration of fine particles toward the center, thereby reducing the likelihood of fine particles entering the outer vortex and allowing for more precise classification of fine particles. As the particle concentration increases, the cutting ability of the hydrocyclone progressively diminishes; when the concentration exceeds 20%, the maximum underflow recovery rate for particles smaller than 50 µm is only 60%, resulting in significant coarse overflow and a notable decrease in classification precision. Furthermore, as the inlet concentration increases, the dispersion index for 0.5 µm particles ranges from 0.6 to 1.6, for 4 µm particles from 0.6 to 1.4, and for 60 µm particles from 0.6 to 1. The decreasing dispersion index indicates an increasing classification force, which aids in the formation of a coarse particle layer on the wall. The conclusions and data obtained provide a theoretical foundation and empirical support for the design of innovative inlet chamber structures.
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- article
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- Landing Page
- https://doi.org/10.3390/pr13113540
- https://www.mdpi.com/2227-9717/13/11/3540/pdf
- OA Status
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- References
- 29
- OpenAlex ID
- https://openalex.org/W4415868241
All OpenAlex metadata
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https://doi.org/10.3390/pr13113540Digital Object Identifier
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Analysis of Particle Distribution and Aggregation Characteristics in a Hydrocyclone with a Complex Curved Inlet StructureWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
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2025-11-04Full publication date if available
- Authors
-
H J Yang, Fanping Meng, Shuilin Wang, Zhitao Liang, Lizhao Wei, Yu Ge, Yuting Fu, Feng LiList of authors in order
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https://doi.org/10.3390/pr13113540Publisher landing page
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https://www.mdpi.com/2227-9717/13/11/3540/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2227-9717/13/11/3540/pdfDirect OA link when available
- Cited by
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0Total citation count in OpenAlex
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29Number of works referenced by this work
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| abstract_inverted_index.accuracy | 64 |
| abstract_inverted_index.allowing | 211 |
| abstract_inverted_index.analysis | 85 |
| abstract_inverted_index.century. | 9 |
| abstract_inverted_index.chamber, | 147 |
| abstract_inverted_index.compares | 115 |
| abstract_inverted_index.decrease | 259 |
| abstract_inverted_index.employed | 87 |
| abstract_inverted_index.entering | 206 |
| abstract_inverted_index.indicate | 131 |
| abstract_inverted_index.obtained | 324 |
| abstract_inverted_index.overflow | 255 |
| abstract_inverted_index.particle | 55, 91, 135, 159, 181, 221, 315 |
| abstract_inverted_index.promotes | 190 |
| abstract_inverted_index.recovery | 240 |
| abstract_inverted_index.reducing | 200 |
| abstract_inverted_index.specific | 187 |
| abstract_inverted_index.straight | 35 |
| abstract_inverted_index.designed, | 82 |
| abstract_inverted_index.dispersed | 141 |
| abstract_inverted_index.empirical | 330 |
| abstract_inverted_index.featuring | 74 |
| abstract_inverted_index.formation | 311 |
| abstract_inverted_index.gradually | 163 |
| abstract_inverted_index.indicates | 302 |
| abstract_inverted_index.influence | 23 |
| abstract_inverted_index.migration | 192 |
| abstract_inverted_index.numerical | 84 |
| abstract_inverted_index.particles | 139, 162, 171, 195, 205, 243, 275, 284, 293 |
| abstract_inverted_index.resulting | 59, 251 |
| abstract_inverted_index.structure | 80 |
| abstract_inverted_index.underflow | 239 |
| abstract_inverted_index.Therefore, | 68 |
| abstract_inverted_index.accumulate | 174 |
| abstract_inverted_index.decreasing | 299 |
| abstract_inverted_index.direction; | 169 |
| abstract_inverted_index.disordered | 150 |
| abstract_inverted_index.dispersion | 270, 300 |
| abstract_inverted_index.efficiency | 27 |
| abstract_inverted_index.exhibited, | 58 |
| abstract_inverted_index.exhibiting | 148 |
| abstract_inverted_index.following: | 133 |
| abstract_inverted_index.foundation | 328 |
| abstract_inverted_index.increases, | 161, 223, 268 |
| abstract_inverted_index.increasing | 304 |
| abstract_inverted_index.innovative | 336 |
| abstract_inverted_index.likelihood | 202 |
| abstract_inverted_index.maintained | 184 |
| abstract_inverted_index.multiphase | 15 |
| abstract_inverted_index.particles. | 218 |
| abstract_inverted_index.precision. | 262 |
| abstract_inverted_index.relatively | 61 |
| abstract_inverted_index.separation | 26, 117 |
| abstract_inverted_index.throughout | 142 |
| abstract_inverted_index.transition | 41 |
| abstract_inverted_index.RSM/VOF/TFM | 106 |
| abstract_inverted_index.aggregation | 94 |
| abstract_inverted_index.conclusions | 321 |
| abstract_inverted_index.diminishes; | 231 |
| abstract_inverted_index.guidelines. | 38 |
| abstract_inverted_index.performance | 118 |
| abstract_inverted_index.significant | 50, 253 |
| abstract_inverted_index.simulations | 107 |
| abstract_inverted_index.structures. | 339 |
| abstract_inverted_index.theoretical | 327 |
| abstract_inverted_index.utilization | 1 |
| abstract_inverted_index.validation, | 112 |
| abstract_inverted_index.Conventional | 30 |
| abstract_inverted_index.Furthermore, | 263 |
| abstract_inverted_index.Supplemented | 104 |
| abstract_inverted_index.conventional | 126 |
| abstract_inverted_index.distribution | 92 |
| abstract_inverted_index.experimental | 111 |
| abstract_inverted_index.hydrocyclone | 73, 144, 177, 229 |
| abstract_inverted_index.misalignment | 56 |
| abstract_inverted_index.performance. | 157 |
| abstract_inverted_index.concentration | 182, 222, 234, 267 |
| abstract_inverted_index.hydrocyclone. | 67, 103 |
| abstract_inverted_index.hydrocyclones | 3 |
| abstract_inverted_index.progressively | 230 |
| abstract_inverted_index.classification | 63, 156, 215, 261, 305 |
| abstract_inverted_index.hydrocyclones. | 29 |
| abstract_inverted_index.characteristics | 95 |
| abstract_inverted_index.circumferential | 48 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5043271314, https://openalex.org/A5112948482, https://openalex.org/A5083772141 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I15823474, https://openalex.org/I4403386725 |
| citation_normalized_percentile |