Title: | Computational Fluid Dynamics (CFD) as a Tool for Investigating Self-Organized Ascending Bubble-Driven Flow Patterns in Champagne Glasses |
Author(s): | Beaumont F; Liger-Belair G; Polidori G; |
Address: | "Physique et Sciences Pour l'Ingenieur (PSPI), Universite 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), Universite de Reims Champagne-Ardenne, UFR Sciences Exactes et Naturelles, BP 1039, CEDEX 2, 51687 Reims, France" |
ISSN/ISBN: | 2304-8158 (Print) 2304-8158 (Electronic) 2304-8158 (Linking) |
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" |
Keywords: | Cfd Piv VOF method bubbles champagne flow patterns; |
Notes: | "PubMed-not-MEDLINEBeaumont, Fabien Liger-Belair, Gerard Polidori, Guillaume eng Switzerland 2020/07/29 Foods. 2020 Jul 23; 9(8):972. doi: 10.3390/foods9080972" |