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Periodic fluctuation analysis of air core in hydrocyclone using dynamic mode decomposition.

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Title: Periodic fluctuation analysis of air core in hydrocyclone using dynamic mode decomposition.
Authors: Liu, Yuxiang1 (AUTHOR), Cai, Qinyu1 (AUTHOR), Dong, Sijie2 (AUTHOR), Zhang, Yumeng1 (AUTHOR) zhangyumeng@lzu.edu.cn, Wang, Bo1 (AUTHOR) wangbo@lzu.edu.cn
Source: AIChE Journal. Jun2026, Vol. 72 Issue 6, p1-13. 13p.
Subjects: Computational fluid dynamics, Rotational flow, Time series analysis, Vortex motion, Machine separators, Eigenanalysis
Abstract: A hydrocyclone is a centrifugal separation device with self‐induced rotating flow field, and the air core oscillation is a pivotal phenomenon profoundly impacting its efficiency and energy consumption. This study employs computational fluid dynamics (CFD) and dynamic mode decomposition (DMD) to analyze the periodic fluctuations of the air core in a hydrocyclone. The results reveal a pair of conjugate modes extracted by the DMD method closely matches the principal frequency of the quasi‐periodic flow. Notably, Modes 2 and 3 reflect the oscillating motion of the air core and the intense rotating airflow with the four‐helix vortex structure. They have intense rotation, stretching, and shear, which will disrupt the stability of the flow field of the hydrocyclone and affect its performance. These findings provide new insights into the periodic motion within the hydrocyclone, and the established methodology can be applied to the modal analysis of other rotational flow fields. [ABSTRACT FROM AUTHOR]
Copyright of AIChE Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 193398347
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PubTypeId: academicJournal
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  Data: Periodic fluctuation analysis of air core in hydrocyclone using dynamic mode decomposition.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Yuxiang%22">Liu, Yuxiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cai%2C+Qinyu%22">Cai, Qinyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Sijie%22">Dong, Sijie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yumeng%22">Zhang, Yumeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangyumeng@lzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Bo%22">Wang, Bo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wangbo@lzu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22AIChE+Journal%22">AIChE Journal</searchLink>. Jun2026, Vol. 72 Issue 6, p1-13. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Computational+fluid+dynamics%22">Computational fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Rotational+flow%22">Rotational flow</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Vortex+motion%22">Vortex motion</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+separators%22">Machine separators</searchLink><br /><searchLink fieldCode="DE" term="%22Eigenanalysis%22">Eigenanalysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A hydrocyclone is a centrifugal separation device with self‐induced rotating flow field, and the air core oscillation is a pivotal phenomenon profoundly impacting its efficiency and energy consumption. This study employs computational fluid dynamics (CFD) and dynamic mode decomposition (DMD) to analyze the periodic fluctuations of the air core in a hydrocyclone. The results reveal a pair of conjugate modes extracted by the DMD method closely matches the principal frequency of the quasi‐periodic flow. Notably, Modes 2 and 3 reflect the oscillating motion of the air core and the intense rotating airflow with the four‐helix vortex structure. They have intense rotation, stretching, and shear, which will disrupt the stability of the flow field of the hydrocyclone and affect its performance. These findings provide new insights into the periodic motion within the hydrocyclone, and the established methodology can be applied to the modal analysis of other rotational flow fields. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of AIChE Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/aic.70310
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1
    Subjects:
      – SubjectFull: Computational fluid dynamics
        Type: general
      – SubjectFull: Rotational flow
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Vortex motion
        Type: general
      – SubjectFull: Machine separators
        Type: general
      – SubjectFull: Eigenanalysis
        Type: general
    Titles:
      – TitleFull: Periodic fluctuation analysis of air core in hydrocyclone using dynamic mode decomposition.
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            NameFull: Liu, Yuxiang
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            NameFull: Cai, Qinyu
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            NameFull: Dong, Sijie
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            NameFull: Zhang, Yumeng
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            NameFull: Wang, Bo
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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