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Updated: Apr 10, 2026

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
Published on: August 21, 2018
Radiation dominated acoustophoresis driven by surface acoustic waves
Jinhong Guo1, Yuejun Kang2, Ye Ai1
1Pillar of Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore.
This study numerically simulates acoustophoresis using surface acoustic waves (SAWs) in microfluidics. The developed model accurately predicts particle focusing and trajectory, validating experimental results for potential particle sorting applications.
Area of Science:
- Microfluidics
- Acoustic manipulation
- Surface Acoustic Waves (SAWs)
Background:
- Acoustophoresis is a key technique in microfluidics for particle manipulation.
- Experimental studies are abundant, but numerical simulations of SAW-driven acoustophoresis remain underexplored.
Purpose of the Study:
- To develop and validate a numerical model for simulating acoustophoresis driven by surface acoustic waves (SAWs).
- To investigate particle manipulation and focusing phenomena in microfluidic devices utilizing SAWs.
Main Methods:
- Developed a numerical model incorporating acoustic-piezoelectric interactions to simulate SAW generation and acoustic pressure fields.
- Employed acoustic radiation-dominated particle tracing to simulate acoustophoresis for various particle sizes.
- Fabricated a microfluidic device with interdigital transducers (IDTs) for experimental validation.
Main Results:
- Numerical simulations accurately captured particle focusing to pressure nodes, consistent with experimental observations.
- Quantitative agreement was achieved between simulated and experimental particle trajectories by fitting applied voltage.
- Demonstrated particle switching, highlighting the potential for active particle sorting.
Conclusions:
- The developed numerical model effectively simulates SAW-driven acoustophoresis in microfluidics.
- The findings validate the use of numerical simulations for predicting particle behavior in SAW-based microfluidic devices.
- The study paves the way for designing advanced active particle sorting devices using acoustophoresis.
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