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Published on: May 9, 2021
Mass and heat transfer in audible sound driven bubbles
Davide Masiello1, Ignacio Tudela1, Stephen J Shaw2
1School of Engineering, The University of Edinburgh, Sanderson building, Robert Stevenson Road, Edinburgh EH9 3FB, United Kingdom.
Existing models for bubble dynamics accurately predict behavior at ultrasonic frequencies but fail at audible sound levels. This study introduces a hybrid model, highlighting significant deviations in bubble size, temperature, and pressure predictions at lower frequencies.
Area of Science:
- Acoustics and Fluid Dynamics
- Physical Chemistry
- Computational Modeling
Background:
- Sonoluminescence and sonochemistry research predominantly uses frequencies above 20 kHz.
- Mathematical models for acoustically-driven bubble dynamics are scarce in the audible frequency range (below 20 kHz).
Purpose of the Study:
- To develop and validate a hybrid modeling approach for inertially collapsing bubbles driven by audible sound.
- To assess the accuracy of reduced-order models at lower acoustic frequencies compared to a more rigorous advection-diffusion model.
Main Methods:
- A novel hybrid model combining advection-diffusion and boundary layer approaches was developed.
- Phase-change, mass, and heat transfer in bubbles were predicted.
- Validation was performed against experimental data from ultra-high-speed videos of bubble dynamics at 17.8 kHz.
Main Results:
- The boundary layer model shows significant deviations from the advection-diffusion model at audible frequencies (e.g., 17.8 kHz).
- Reduced-order models overpredict bubble size and trapped vapor while underpredicting temperature and pressure at lower frequencies.
- Deviations stem from inaccurate boundary layer thickness estimation due to time-scale competition between diffusion and bubble wall motion.
Conclusions:
- Existing reduced-order models developed for ultrasonic frequencies are not suitable for the audible range.
- Further research into bubble dynamics modeling within the audible frequency spectrum is essential.
- The developed hybrid model offers a more accurate approach for studying audible sound-induced bubble behavior.
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