Analysis of Hydrodynamics and Microstructure in a Bubble Column by Planar Shadow Image Velocimetry

2009 ◽  
Vol 48 (1) ◽  
pp. 330-340 ◽  
Author(s):  
M. Sommerfeld ◽  
D. Bröder
Keyword(s):  
Bubble Column ◽  
Shadow Image ◽  
Image Velocimetry ◽  
Shadow Image Velocimetry

Application of a shadow image velocimetry to a ventilated hydrofoil wake

2014 ◽  
Vol 17 (4) ◽  
pp. 327-335
Author(s):  
Seung-Jae Lee ◽  
Ellison Kawakami ◽  
Roger E. A. Arndt
Keyword(s):  
Shadow Image ◽  
Image Velocimetry ◽  
Shadow Image Velocimetry

Three-Dimensional Bubble Reconstruction in a Pipe Flow Using Shadow Technique

2002 ◽  
Author(s):  
Javier Ortiz-Villafuerte ◽  
Yassin A. Hassan ◽  
Toru Furukawa
Keyword(s):  
Pipe Flow ◽  
Particle Image ◽  
Three Dimensional ◽  
Bubbly Flows ◽  
Three Dimensional Reconstruction ◽  
Two Phase ◽  
Generalized Hough Transform ◽  
Image Velocimetry ◽  
Dimensional Reconstruction ◽  
Shadow Image Velocimetry

Two different three-dimensional reconstruction techniques for the shape of gas bubbles flowing in a liquid are presented. The first technique is based on the Dynamic Generalized Hough Transform Algorithm, and the second on the Metaball Model. These techniques are suitable for analysis of turbulent two-phase bubbly flows. Both techniques require at least two views of the bubble intended for three-dimensional reconstruction, and can be used in either stereoscopic or orthogonal camera setups. Once the reconstruction is accomplished, the bubble images can be accurately removed from the images acquired during Particle Image Velocimtery or Shadow Image Velocimetry measurements. After removing the bubble images from PIV images, a typical analysis of the liquid phase can be performed. This improves the accuracy of the statistical analysis of the parameters of each phase.

Analysis of Two-Phase Air/Water Bubbly Flow Experiment

2002 ◽  
Author(s):  
Donald R. Todd ◽  
Yassin A. Hassan ◽  
Javier Ortiz-Villafuerte
Keyword(s):  
Particle Image ◽  
Bubbly Flow ◽  
Continuous Phase ◽  
Three Dimensions ◽  
Dispersed Phase ◽  
Two Dimensional ◽  
Two Phase ◽  
Image Velocimetry ◽  
Flow Experiment ◽  
Shadow Image Velocimetry

Two different techniques, the Particle Image Velocimetry (PIV) and the Shadow-Image Velocimetry (SIV) techniques have been used to capture detailed two-phase bubbly flow experimental data. The PIV has provided a two-dimensional velocity field of the liquid phase for analysis of the continuous phase. The SIV has utilized to reconstruct the bubble shape and velocity of the dispersed phase in three-dimensions.

Measurement in the Wake Region of Two Bubbles in Close Proximity by Combined Shadow-Image and PIV Techniques

1999 ◽  
Vol 121 (1) ◽  
pp. 191-197 ◽  
Author(s):  
A. Tokuhiro ◽  
A. Fujiwara ◽  
K. Hishida ◽  
M. Maeda
Keyword(s):  
Ccd Camera ◽  
Shadow Image ◽  
Wake Flow ◽  
Air Bubbles ◽  
Velocity Measurements ◽  
Square Channel ◽  
Image Velocimetry ◽  
Close Proximity ◽  
Spatio Temporal ◽  
Two Bubbles

An experimental study on flow around two similarly-sized, adjacent air bubbles confined in a 1000 mm vertical, square channel (100 × 100 mm2) with downward flow of water was conducted. The bubbles were D = 11.7 mm in major diameter, ellipsoidal in shape (0.4 ml volume) and 12 mm apart. The Reynolds and Eo¨tvo¨s numbers were 1950 < ReD < 2250, 11 < Eo < 11.5 such that the bubbles oscillated. Velocity measurements were taken using Digital Particle Image Velocimetry, Complemented by Laser Induced Fluorescence. Simultaneously, a second CCD camera recorded the shadow image of the bubble pair’s motions. Visualization revealed that the bubbles move out of phase and do not collide nor coalesce. The velocity data revealed the dynamic interaction of two wake-flow velocity fields with a jet-like flow in-between. From the DPIV data, estimates of the vorticity, Reynolds-stress and turbulent kinetic energy (TKE) distributions confirmed the spatio-temporal nature of the flow. Details will be presented.

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

Foods ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 972
Author(s):  
Fabien Beaumont ◽  
Gérard Liger-Belair ◽  
Guillaume Polidori
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Bubble Column ◽  
Three Dimensional ◽  
Flow Patterns ◽  
Complex Flow ◽  
Self Organized ◽  
Laser Tomography ◽  
Image Velocimetry ◽  
Computational Fluid Dynamics Cfd

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.

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