Sorting of small inertial particles in vortical, 3D fluid flows.

IF 3.3 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2026-09-01 DOI:10.1063/5.0336069
Larry J Pratt, Irina I Rypina, Divya Jaganathan, Caitlin J Williams
{"title":"Sorting of small inertial particles in vortical, 3D fluid flows.","authors":"Larry J Pratt, Irina I Rypina, Divya Jaganathan, Caitlin J Williams","doi":"10.1063/5.0336069","DOIUrl":null,"url":null,"abstract":"<p><p>Vortical flows have been shown to support attractors of buoyant particles in the form of limit cycles. The position of the attractor generally depends on particle characteristics such as size and buoyancy. A continuous range of characteristics gives rise to a range of limit cycles, together which can form a surface, volume, or some other geometric object in space. Particles will be sorted over this object according to their characteristics. We present some examples of these objects using a simple model of a three-dimensional ocean eddy as a background fluid flow. Here, the limit cycles consist of circular horizontal orbits, whose location depends on the size and density of the particles, as reflected in Stokes number and buoyancy parameters, respectively. If just particle size is varied, the attractors combine to form a surface on which particles are sorted by size. When both parameters are varied, the particles are sorted over a volume. We compute these objects using a general form of the Maxey-Riley-Gatignol (MRG) equations and compare solutions to those based on two common approximations: the MRG equations without the history term and the slow manifold reduction. Also discussed are rates of attraction and basins of attraction, and it is found that although larger particles are attracted most rapidly, they tend to have smaller basins of attraction. The history force is found to be important in most cases. Neglect of this force allows particles to become less constrained to follow fluid trajectories, freeing them to approach an attractor more rapidly.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"36 9","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1063/5.0336069","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

Vortical flows have been shown to support attractors of buoyant particles in the form of limit cycles. The position of the attractor generally depends on particle characteristics such as size and buoyancy. A continuous range of characteristics gives rise to a range of limit cycles, together which can form a surface, volume, or some other geometric object in space. Particles will be sorted over this object according to their characteristics. We present some examples of these objects using a simple model of a three-dimensional ocean eddy as a background fluid flow. Here, the limit cycles consist of circular horizontal orbits, whose location depends on the size and density of the particles, as reflected in Stokes number and buoyancy parameters, respectively. If just particle size is varied, the attractors combine to form a surface on which particles are sorted by size. When both parameters are varied, the particles are sorted over a volume. We compute these objects using a general form of the Maxey-Riley-Gatignol (MRG) equations and compare solutions to those based on two common approximations: the MRG equations without the history term and the slow manifold reduction. Also discussed are rates of attraction and basins of attraction, and it is found that although larger particles are attracted most rapidly, they tend to have smaller basins of attraction. The history force is found to be important in most cases. Neglect of this force allows particles to become less constrained to follow fluid trajectories, freeing them to approach an attractor more rapidly.

涡旋三维流体流动中小惯性粒子的分选。
已经证明,涡旋流以极限环的形式支持浮力粒子的吸引子。吸引子的位置通常取决于粒子的特性,如大小和浮力。连续的特征范围会产生极限环的范围,这些极限环可以在空间中形成一个表面、体积或其他一些几何物体。粒子将根据它们的特性在这个物体上进行分类。我们用一个简单的三维海洋涡流模型作为背景流体流动来展示这些物体的一些例子。这里,极限环由圆形水平轨道组成,其位置取决于颗粒的大小和密度,分别反映在斯托克斯数和浮力参数中。如果只是颗粒大小不同,吸引子结合起来形成一个表面,在这个表面上颗粒按大小排序。当这两个参数变化时,粒子在一个体积内被排序。我们使用maxey - riley - gatignl (MRG)方程的一般形式计算这些目标,并将解与基于两种常见近似的解进行比较:不含历史项的MRG方程和缓慢流形约简的MRG方程。还讨论了引力率和引力盆地,发现虽然较大的粒子被吸引得最快,但它们往往具有较小的引力盆地。历史力在大多数情况下都很重要。忽略这个力可以使粒子在遵循流体轨迹时变得不那么受约束,从而使它们能够更快地接近吸引子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书