Acoustically propelled winged macroparticles

Self-propelled particles harvest and harness energy from their environment, transforming it into a controlled force that propels their motion. We present a mechanism to propel active macroparticles using low frequency noise (10–200 Hz). Thin polymer plates (wings) are acoustically excited at their second natural frequency; the mass of air displaced generates a counter-force, which propels the macroparticles. We show that the magnitude and direction of the propelling force can be tweaked through the wing’s shape, dimensions, and orientation. Finally, we design a macroparticle with bidirectional rotation: its rotation direction can be inverted by changing the frequency at which it is excited.

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Publication Details

Journal
Journal of Applied Physics
Published
2024-11-19
DOI
https://doi.org/10.1063/5.0227364
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
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article

Acoustically propelled winged macroparticles

Achim Sack, Olfa D’Angelo, Adriana Enriquez
Journal of Applied Physics
Micro and Nano Robotics
article

Acoustically propelled winged macroparticles

Achim Sack, Olfa D’Angelo, Adriana Enriquez
article en

Abstract

Self-propelled particles harvest and harness energy from their environment, transforming it into a controlled force that propels their motion. We present a mechanism to propel active macroparticles using low frequency noise (10–200 Hz). Thin polymer plates (wings) are acoustically excited at their second natural frequency; the mass of air displaced generates a counter-force, which propels the macroparticles. We show that the magnitude and direction of the propelling force can be tweaked through the wing’s shape, dimensions, and orientation. Finally, we design a macroparticle with bidirectional rotation: its rotation direction can be inverted by changing the frequency at which it is excited.

Journal of Applied PhysicsVol. 136(19)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Affordable and clean energy
Openalex Percentile: Top 87%
Micro and Nano Robotics
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