Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns
Fabien Beaumont1, Gérard Liger-Belair2, Guillaume Polidori1
1Physique et Sciences Pour l'Ingénieur (PSPI), Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, BP 1039, CEDEX 2, 51687 Reims, France.
Foods (Basel, Switzerland)
|July 29, 2020
Summary
Computational fluid dynamics (CFD) simulations reveal complex bubble-driven flow patterns in champagne glasses. These flows, involving surface eddies and toroidal motion, enhance volatile compound release from champagne.
Area of Science:
- Fluid dynamics
- Chemical engineering
- Food science
Background:
- Ascending bubbles in champagne glasses create complex flow patterns.
- These patterns are thought to increase the release of volatile organic compounds (VOCs).
Purpose of the Study:
- To investigate bubble-driven flow dynamics in champagne using computational fluid dynamics (CFD).
- To understand how these flows influence the headspace composition and VOC release.
Main Methods:
- Utilized computational fluid dynamics (CFD) with an Eulerian-Lagrangian approach.
- Developed 2D axisymmetric and 3D models using the volume-of-fluid (VOF) method.
- Validated simulations against experimental data from particle image velocimetry (PIV) and laser tomography.
Main Results:
- CFD simulations accurately reproduced complex, self-organized flow patterns observed experimentally.
- Identified interactions between surface eddies and a toroidal flow around the bubble column.
- Confirmed the significant role of bubble dynamics in shaping champagne's internal flow.
Conclusions:
- Bubble-driven flows in champagne glasses are complex and highly structured.
- CFD is a reliable tool for studying these multiphase flow phenomena.
- Understanding these flows is key to controlling aroma release in sparkling wines.
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