Fluid–structure boundary-driven simultaneous standard-inverse Chladni patterns for selective particles manipulation

In fluid, particles patterning and selective manipulation are essential for material, biomedical, and robotic handling. The German physicist Chladni has investigated the particles manipulation on a flat vibrating plate. Generally, particles bounce with the vibrating plate, gradually accumulate to nodal lines or anti-nodes, forming either standard or inverse Chladni patterns. The Chladni patterns show great potential for particles assembly in different environments. The mechanisms for simultaneous manipulation by multiple kinds of forces are still unclear. Here, the Chladni plate with a vertical boundary is used for selective particles manipulation. The simultaneous standard-inverse Chladni patterns are realized on the vibrating plate by modulating the frequency. First, the particles patterning mechanisms on the Chladni plate with vertical boundary are investigated for the acoustic radiation force and the acoustic streaming. The simultaneous standard-inverse Chladni patterns are realized due to the driving of vertical boundary. Then, through switching the excitation frequencies, the tunable particles patterns are realized. Finally, the selective separation of particles with different sizes and densities is investigated using the standard-inverse Chladni patterns. This work investigates the particles manipulation mechanisms on vibrating plate by the fluid–structure boundary-driven acoustic field, thereby potentially providing a platform for selective patterning and separation of particles.

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Publication Details

Journal
Physics of Fluids
Published
2025-02-01
DOI
https://doi.org/10.1063/5.0249974
Citations
2
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
1.35

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article

Fluid–structure boundary-driven simultaneous standard-inverse Chladni patterns for selective particles manipulation

Yuyang Lin, Yongmao Pei, Bo Yu, Zewei Hou et al.
2 citations
Physics of Fluids
Microfluidic and Bio-sensing Technologies
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article

Fluid–structure boundary-driven simultaneous standard-inverse Chladni patterns for selective particles manipulation

Yuyang Lin, Yongmao Pei, Bo Yu, Zewei Hou, Duo Xu
article en
2 citations

Abstract

In fluid, particles patterning and selective manipulation are essential for material, biomedical, and robotic handling. The German physicist Chladni has investigated the particles manipulation on a flat vibrating plate. Generally, particles bounce with the vibrating plate, gradually accumulate to nodal lines or anti-nodes, forming either standard or inverse Chladni patterns. The Chladni patterns show great potential for particles assembly in different environments. The mechanisms for simultaneous manipulation by multiple kinds of forces are still unclear. Here, the Chladni plate with a vertical boundary is used for selective particles manipulation. The simultaneous standard-inverse Chladni patterns are realized on the vibrating plate by modulating the frequency. First, the particles patterning mechanisms on the Chladni plate with vertical boundary are investigated for the acoustic radiation force and the acoustic streaming. The simultaneous standard-inverse Chladni patterns are realized due to the driving of vertical boundary. Then, through switching the excitation frequencies, the tunable particles patterns are realized. Finally, the selective separation of particles with different sizes and densities is investigated using the standard-inverse Chladni patterns. This work investigates the particles manipulation mechanisms on vibrating plate by the fluid–structure boundary-driven acoustic field, thereby potentially providing a platform for selective patterning and separation of particles.

Physics of FluidsVol. 37(2)
Huaqiao University (CN), Beijing Institute of Technology (CN), Peking University (CN), Zhuhai Institute of Advanced Technology (CN), State Key Laboratory of Turbulence and Complex Systems
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Microfluidic and Bio-sensing Technologies
1.35
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