Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses

Beaumont, Fabien; Liger-Belair, Gérard; Polidori, Guillaume

doi:10.3390/foods9080972

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Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses

Fabien Beaumont

Gérard Liger-Belair

^2,*

and

Guillaume Polidori

Physique et Sciences Pour l’Ingénieur (PSPI), Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, BP 1039, CEDEX 2, 51687 Reims, France

Equipe Effervescence, Champagne et Applications (GSMA-UMR CNRS 7331), Université de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, BP 1039, CEDEX 2, 51687 Reims, France

Author to whom correspondence should be addressed.

Foods 2020, 9(8), 972; https://doi.org/10.3390/foods9080972

Received: 11 June 2020 / Revised: 13 July 2020 / Accepted: 16 July 2020 / Published: 23 July 2020

(This article belongs to the Special Issue Application of Computational Fluid Dynamics in Food Processing)

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Abstract

Champagne glasses are subjected to complex ascending bubble-driven flow patterns, which are believed to enhance the release of volatile organic compounds in the headspace above the glasses. Based on the Eulerian–Lagrangian approach, computational fluid dynamics (CFD) was used in order to examine how a column of ascending bubbles nucleated at the bottom of a classical champagne glass can drive self-organized flow patterns in the champagne bulk and at the air/champagne interface. Firstly, results from two-dimensional (2D) axisymmetric simulations were compared with a set of experimental data conducted through particle image velocimetry (PIV). Secondly, a three-dimensional (3D) model was developed by using the conventional volume-of-fluid (VOF) multiphase method to resolve the interface between the mixture’s phases (wine–air). In complete accordance with several experimental observations conducted through laser tomography and PIV techniques, CFD revealed a very complex flow composed of surface eddies interacting with a toroidal flow that develops around the ascending bubble column. View Full-Text

Keywords: champagne; bubbles; flow patterns; CFD; PIV; VOF method

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MDPI and ACS Style

Beaumont, F.; Liger-Belair, G.; Polidori, G. Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses. Foods 2020, 9, 972. https://doi.org/10.3390/foods9080972

AMA Style

Beaumont F, Liger-Belair G, Polidori G. Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses. Foods. 2020; 9(8):972. https://doi.org/10.3390/foods9080972

Chicago/Turabian Style

Beaumont, Fabien, Gérard Liger-Belair, and Guillaume Polidori. 2020. "Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses" Foods 9, no. 8: 972. https://doi.org/10.3390/foods9080972

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Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses

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