FEIT Research Project Database

Numerical prediction of bubble sound emissions


Project Leader: Andrew Ooi
Collaborators: Richard Manasseh, Swinburne University of Technology
Primary Contact: Andrew Ooi (a.ooi@unimelb.edu.au)
Keywords: computational fluid dynamics; fluid dynamics; fluid mechanics
Disciplines: Mechanical Engineering
Domains:

The project aims to comprehensively predict the sounds emitted by bubbles. These audio signals contain data on the size and numbers of bubbles controlling global-ocean C02 absorption, a presently unmeasurable variable, and oxygenation in the pharmaceuticals, minerals, food, and water-treatment industries. These data would give the rate of gas dissolution in liquids that are typically opaque, hot or biofouled. A novel combination of laboratory-experimental and numerical simulations would allow the amplitude (sound volume) as well as frequencies emitted by bubbles to be predicted. The outcome would enable absolute bubble-size population distributions to be obtained from inversions of the complex sound spectra easily measured in bubbly flows.