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Methodology development for the analysis of velocity particle image velocimetry images of turbulent, bubbly gas-liquid flows

Tu, Xiaoyun LU and Trägårdh, Christian LU (2002) In Measurement Science & Technology 13(7). p.1079-1086
Abstract
Methods of analysing and interpreting two-dimensional velocity field data in order to understand the scales of turbulence of bubbly two-phase flow were developed. Reynolds decomposition and large eddy simulation (LES) decompositions (low-pass filtering), in conjunction with proper orthogonal decomposition (POD) energy spectra analysis, as well as adjusted convective decomposition (constant convection velocity is gas bubble velocity) were applied to analyse the structure of turbulence. Particle image velocimetry was applied for velocity measurements. Decomposition analysis was performed for the local velocity around gas bubbles in a chosen region. Various decomposition methodologies were applied for interpretation of the results and it was... (More)
Methods of analysing and interpreting two-dimensional velocity field data in order to understand the scales of turbulence of bubbly two-phase flow were developed. Reynolds decomposition and large eddy simulation (LES) decompositions (low-pass filtering), in conjunction with proper orthogonal decomposition (POD) energy spectra analysis, as well as adjusted convective decomposition (constant convection velocity is gas bubble velocity) were applied to analyse the structure of turbulence. Particle image velocimetry was applied for velocity measurements. Decomposition analysis was performed for the local velocity around gas bubbles in a chosen region. Various decomposition methodologies were applied for interpretation of the results and it was found that the number of eddies revealed and vorticity magnitude varied with the decomposition method used. In particular, LES decomposition was found to perform better at showing smaller eddies. POD indicated the energy changes quantitatively through the spatial energy spectra, while the comparison of single-phase flow with bubbly two-phase flow offered an efficient way of decomposing the total velocity. A combination of convective decomposition and POD was applied to the energy spectra level in order to obtain a novel view of the turbulence energy introduced by the gas bubbles. (Less)
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author
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organization
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type
Contribution to journal
publication status
published
subject
keywords
eigenvalue, eigenfunction, LES, decomposition, two-phase flow, PIV, interrogation area, turbulence, energy spectra, POD
in
Measurement Science & Technology
volume
13
issue
7
pages
1079 - 1086
publisher
IOP Publishing
external identifiers
  • wos:000177090800017
  • scopus:0036646798
ISSN
0957-0233
DOI
10.1088/0957-0233/13/7/315
language
English
LU publication?
yes
id
3587b740-3b6b-49da-81c6-717a7824f6d7 (old id 332254)
date added to LUP
2016-04-01 16:20:21
date last changed
2020-01-12 19:16:31
@article{3587b740-3b6b-49da-81c6-717a7824f6d7,
  abstract     = {Methods of analysing and interpreting two-dimensional velocity field data in order to understand the scales of turbulence of bubbly two-phase flow were developed. Reynolds decomposition and large eddy simulation (LES) decompositions (low-pass filtering), in conjunction with proper orthogonal decomposition (POD) energy spectra analysis, as well as adjusted convective decomposition (constant convection velocity is gas bubble velocity) were applied to analyse the structure of turbulence. Particle image velocimetry was applied for velocity measurements. Decomposition analysis was performed for the local velocity around gas bubbles in a chosen region. Various decomposition methodologies were applied for interpretation of the results and it was found that the number of eddies revealed and vorticity magnitude varied with the decomposition method used. In particular, LES decomposition was found to perform better at showing smaller eddies. POD indicated the energy changes quantitatively through the spatial energy spectra, while the comparison of single-phase flow with bubbly two-phase flow offered an efficient way of decomposing the total velocity. A combination of convective decomposition and POD was applied to the energy spectra level in order to obtain a novel view of the turbulence energy introduced by the gas bubbles.},
  author       = {Tu, Xiaoyun and Trägårdh, Christian},
  issn         = {0957-0233},
  language     = {eng},
  number       = {7},
  pages        = {1079--1086},
  publisher    = {IOP Publishing},
  series       = {Measurement Science & Technology},
  title        = {Methodology development for the analysis of velocity particle image velocimetry images of turbulent, bubbly gas-liquid flows},
  url          = {http://dx.doi.org/10.1088/0957-0233/13/7/315},
  doi          = {10.1088/0957-0233/13/7/315},
  volume       = {13},
  year         = {2002},
}