A simplified three-dimensional numerical simulation approach for surface acoustic wave tweezers

Lizhu Liu, Jian Zhou*, Kaitao Tan, Hui Zhang, Xin Yang, Huigao Duan, Yongqing Fu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Standing surface acoustic waves (SSAWs) have been extensively used as acoustic tweezers to manipulate, transport, and separate microparticles and biological cells in a microscale fluidic environment, with great potentials for biomedical sensing, genetic analysis, and therapeutics applications. Currently, there lacks an accurate, reliable, and efficient three-dimensional (3D) modeling platform to simulate behaviors of micron-size particles/cells in acoustofluidics, which is crucial to provide the guidance for the experimental studies. The major challenge for achieving this is the computational complexity of 3D modeling. Herein, a simplified but effective 3D SSAW microfluidic model was developed to investigate the separation and manipulation of particles. This model incorporates propagation attenuation of the surface waves to increase the modeling accuracy, while simplifies the modeling of piezoelectric substrates and the wall of microchannel by determining the effective propagation region of the substrate. We have simulated the SSAWs microfluidics device, and systematically analyzed effects of voltage, tilt angle, and flow rate on the separation of the particles under the SSAWs. The obtained simulation results are compared with those obtained from the experimental studies, showing good agreements. This simplified modeling platform could become a convenient tool for acoustofluidic research.
Original languageEnglish
Article number106797
Number of pages11
JournalUltrasonics
Volume125
Early online date30 Jun 2022
DOIs
Publication statusE-pub ahead of print - 30 Jun 2022

Fingerprint

Dive into the research topics of 'A simplified three-dimensional numerical simulation approach for surface acoustic wave tweezers'. Together they form a unique fingerprint.

Cite this