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Updated: Sep 19, 2025

Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System

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Jet Size Prediction in Compound Multiphase Bubble Bursting.

Zhengyu Yang¹, Yang Liu², Jie Feng^1,3

¹University of Illinois Urbana-Champaign, Mechanical Science and Engineering, Illinois 61801, USA.

Physical Review Letters

|June 18, 2025

Summary

Contaminant layers on bursting bubbles alter jet dynamics, producing smaller droplets. This research explains how oil films affect aerosol formation and contaminant transport.

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Published on: March 23, 2021

Area of Science:

Fluid dynamics
Environmental science
Atmospheric chemistry

Background:

Bubble bursting at gas-liquid interfaces generates jets that fragment into droplets, aerosolizing substances.
This process is crucial for atmospheric transport of chemical and biological contaminants, impacting climate and health.
The effect of contaminants on jet dynamics and resulting aerosol size distribution is not well understood.

Purpose of the Study:

To investigate how an immiscible contaminant layer influences the jet radius during bubble bursting.
To understand the underlying mechanisms of contaminant-induced changes in jet dynamics.
To develop a model for predicting aerosol formation influenced by contaminants.

Main Methods:

Experimental observation of jet formation from bursting bubbles with an adsorbed oil layer.
Characterization of capillary wave propagation at the air-oil-water interface.
Development of a linearized wave damping model and a revised Ohnesorge number.

Main Results:

An immiscible contaminant layer significantly alters the jet radius compared to clean bubble bursting.
The deviation in jet radius is rationalized by the damping of capillary waves at the interface.
The proposed model and revised Ohnesorge number effectively capture the experimental observations.

Conclusions:

Adsorbed contaminants modify bubble-bursting jet dynamics, influencing aerosol characteristics.
Understanding wave propagation at contaminated interfaces is key to predicting jet behavior.
This study provides insights for modeling airborne contaminant transport and aerosol size distributions in environmental contexts.