Hydrodynamic interactions and extreme particle clustering in turbulence.
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| Title: | Hydrodynamic interactions and extreme particle clustering in turbulence. |
|---|---|
| Authors: | Bragg, Andrew D.1 andrew.bragg@duke.edu, Hammond, Adam L.2, Dhariwal, Rohit3, Hui Meng2 huimeng@buffalo.edu |
| Source: | Journal of Fluid Mechanics. 2/25/2022, Vol. 933, pA31-1-A31-23. 23p. |
| Subjects: | Clustering of particles, Turbulence, Particle interactions, Error analysis in mathematics, Number theory, Radial distribution function, Intramolecular proton transfer reactions |
| Abstract: | Expanding recent observations by Hammond & Meng (J. Fluid Mech., vol. 921, 2021, A16), we present a range of detailed experimental data of the radial distribution function (r.d.f.) of inertial particles in isotropic turbulence for different Stokes number, St, showing that the r.d.f. grows explosively with decreasing separation r, exhibiting r-6 scaling as the collision radius is approached, regardless of St or particle radius a. To understand such explosive clustering, we correct a number of errors in the theory by Yavuz et al. (Phys. Rev. Lett., vol. 120, 2018, 244504) based on hydrodynamic interactions between pairs of small, weakly inertial particles. A comparison between the corrected theory and the experiment shows that the theory by Yavuz et al. underpredicts the r.d.f. by orders of magnitude. To explain this discrepancy, we explore several alternative mechanisms for this discrepancy that were not included in the theory and show that none of them are likely the explanation. This suggests new, yet-to-be-identified physical mechanisms are at play, requiring further investigation and new theories. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Fluid Mechanics is the property of Cambridge University Press 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 155644112 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hydrodynamic interactions and extreme particle clustering in turbulence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bragg%2C+Andrew+D%2E%22">Bragg, Andrew D.</searchLink><relatesTo>1</relatesTo><i> andrew.bragg@duke.edu</i><br /><searchLink fieldCode="AR" term="%22Hammond%2C+Adam+L%2E%22">Hammond, Adam L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dhariwal%2C+Rohit%22">Dhariwal, Rohit</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hui+Meng%22">Hui Meng</searchLink><relatesTo>2</relatesTo><i> huimeng@buffalo.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Fluid+Mechanics%22">Journal of Fluid Mechanics</searchLink>. 2/25/2022, Vol. 933, pA31-1-A31-23. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Clustering+of+particles%22">Clustering of particles</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulence%22">Turbulence</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+interactions%22">Particle interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Error+analysis+in+mathematics%22">Error analysis in mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Number+theory%22">Number theory</searchLink><br /><searchLink fieldCode="DE" term="%22Radial+distribution+function%22">Radial distribution function</searchLink><br /><searchLink fieldCode="DE" term="%22Intramolecular+proton+transfer+reactions%22">Intramolecular proton transfer reactions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Expanding recent observations by Hammond & Meng (J. Fluid Mech., vol. 921, 2021, A16), we present a range of detailed experimental data of the radial distribution function (r.d.f.) of inertial particles in isotropic turbulence for different Stokes number, St, showing that the r.d.f. grows explosively with decreasing separation r, exhibiting r-6 scaling as the collision radius is approached, regardless of St or particle radius a. To understand such explosive clustering, we correct a number of errors in the theory by Yavuz et al. (Phys. Rev. Lett., vol. 120, 2018, 244504) based on hydrodynamic interactions between pairs of small, weakly inertial particles. A comparison between the corrected theory and the experiment shows that the theory by Yavuz et al. underpredicts the r.d.f. by orders of magnitude. To explain this discrepancy, we explore several alternative mechanisms for this discrepancy that were not included in the theory and show that none of them are likely the explanation. This suggests new, yet-to-be-identified physical mechanisms are at play, requiring further investigation and new theories. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Fluid Mechanics is the property of Cambridge University Press 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: BibEntity: Identifiers: – Type: doi Value: 10.1017/jfm.2021.1099 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: A31-1 Subjects: – SubjectFull: Clustering of particles Type: general – SubjectFull: Turbulence Type: general – SubjectFull: Particle interactions Type: general – SubjectFull: Error analysis in mathematics Type: general – SubjectFull: Number theory Type: general – SubjectFull: Radial distribution function Type: general – SubjectFull: Intramolecular proton transfer reactions Type: general Titles: – TitleFull: Hydrodynamic interactions and extreme particle clustering in turbulence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bragg, Andrew D. – PersonEntity: Name: NameFull: Hammond, Adam L. – PersonEntity: Name: NameFull: Dhariwal, Rohit – PersonEntity: Name: NameFull: Hui Meng IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 02 Text: 2/25/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00221120 Numbering: – Type: volume Value: 933 Titles: – TitleFull: Journal of Fluid Mechanics Type: main |
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