Numerical investigation of bubble dynamics in ageing foams using a phase-field model

A novel numerical method for simulating liquid foam decay has been developed. This method is based on a phase-field model and captures gas pressure inside the bubbles. It employs an algorithm that includes the spontaneous rupture of foam separating films and coalescence of bubbles. We found that the microstructure evolution in liquid foam in the dry foam limit is predicted. The numerical results demonstrate that the foam ageing dynamics are mapped for the decay process due to successive coalescence events. Moreover, the method is well suited for large-scale microstructure simulations. This allows the investigation of statistical properties of foams, based on the structures’ characteristics at the bubble scale. In summary, the method is effective to gain insight into the impact of fundamental factors controlling the evolution and dynamics of decaying liquid foam. • A novel numerical approach for simulating liquid foam decay is presented. • The methodology based on a phase-field model captures gas pressure inside bubbles. • An algorithm includes spontaneous film rupture and coalescence of bubbles. • The method predicts microstructure evolution and foam ageing dynamics during decay. • Large-scale simulations facilitate investigation of statistical properties.

Authors

Institutions

Publication Details

Journal
Computational Materials Science
Published
2024-12-03
DOI
https://doi.org/10.1016/j.commatsci.2024.113557
Citations
1
Primary Topic
Pickering emulsions and particle stabilization
Type
article
Field-Weighted Citation Impact
0.12
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical investigation of bubble dynamics in ageing foams using a phase-field model

Andreas Reiter, Johannes Hötzer, Britta Nestler, Michael Selzer et al.
1 citations
Computational Materials Science
Pickering emulsions and particle stabilization
0.12
article

Numerical investigation of bubble dynamics in ageing foams using a phase-field model

Andreas Reiter, Johannes Hötzer, Britta Nestler, Michael Selzer, Anastasia August, Jana Holland-Cunz
article en
1 citations

Abstract

A novel numerical method for simulating liquid foam decay has been developed. This method is based on a phase-field model and captures gas pressure inside the bubbles. It employs an algorithm that includes the spontaneous rupture of foam separating films and coalescence of bubbles. We found that the microstructure evolution in liquid foam in the dry foam limit is predicted. The numerical results demonstrate that the foam ageing dynamics are mapped for the decay process due to successive coalescence events. Moreover, the method is well suited for large-scale microstructure simulations. This allows the investigation of statistical properties of foams, based on the structures’ characteristics at the bubble scale. In summary, the method is effective to gain insight into the impact of fundamental factors controlling the evolution and dynamics of decaying liquid foam. • A novel numerical approach for simulating liquid foam decay is presented. • The methodology based on a phase-field model captures gas pressure inside bubbles. • An algorithm includes spontaneous film rupture and coalescence of bubbles. • The method predicts microstructure evolution and foam ageing dynamics during decay. • Large-scale simulations facilitate investigation of statistical properties.

Computational Materials ScienceVol. 248
Karlsruhe Institute of Technology (DE), Karlsruhe University of Applied Sciences (DE)
Climate action
Openalex Percentile: Top 57%
Pickering emulsions and particle stabilization
0.12
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.