Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Extended Proper Orthogonal Decomposition for Analysis of Unsteady Flames

Duwig, Christophe LU and Iudiciani, Piero LU (2010) In Flow, Turbulence and Combustion 84(1). p.25-47
Abstract
The aim of this work is to present the use of proper orthogonal decomposition (POD) and extended proper orthogonal decomposition (EPOD) for revealing flame dynamics as a set of statistical quantities referred as modes. The flame fluctuations are used to derive an empirical functions base representing the most important features of the flame. The capabilities of the technique are exemplified in the case of an unsteady laminar flame. The flame is naturally unsteady and can be excited to amplify the fluctuations. The data base consists of synchronous Particle Image Velocimetry (PIV) and OH-Planar Laser Induced Fluorescence (OH-PLIF) measurements. It was found that the POD based upon the PIV vectors only reveals flow features when the... (More)
The aim of this work is to present the use of proper orthogonal decomposition (POD) and extended proper orthogonal decomposition (EPOD) for revealing flame dynamics as a set of statistical quantities referred as modes. The flame fluctuations are used to derive an empirical functions base representing the most important features of the flame. The capabilities of the technique are exemplified in the case of an unsteady laminar flame. The flame is naturally unsteady and can be excited to amplify the fluctuations. The data base consists of synchronous Particle Image Velocimetry (PIV) and OH-Planar Laser Induced Fluorescence (OH-PLIF) measurements. It was found that the POD based upon the PIV vectors only reveals flow features when the excitation is added. On contrary, the OH-PLIF based POD performs well in any case and constitutes a suitable base for the EPOD analysis. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Proper orthogonal decomposition, Linear stochastic estimation, Conditional averaging, Laminar flame dynamics
in
Flow, Turbulence and Combustion
volume
84
issue
1
pages
25 - 47
publisher
Springer
external identifiers
  • wos:000271199700002
  • scopus:70350568731
ISSN
1573-1987
DOI
10.1007/s10494-009-9210-6
language
English
LU publication?
yes
id
a959bcd8-e2be-4480-921e-867b6b5c92d6 (old id 1535772)
date added to LUP
2016-04-01 10:06:48
date last changed
2022-04-04 02:29:21
@article{a959bcd8-e2be-4480-921e-867b6b5c92d6,
  abstract     = {{The aim of this work is to present the use of proper orthogonal decomposition (POD) and extended proper orthogonal decomposition (EPOD) for revealing flame dynamics as a set of statistical quantities referred as modes. The flame fluctuations are used to derive an empirical functions base representing the most important features of the flame. The capabilities of the technique are exemplified in the case of an unsteady laminar flame. The flame is naturally unsteady and can be excited to amplify the fluctuations. The data base consists of synchronous Particle Image Velocimetry (PIV) and OH-Planar Laser Induced Fluorescence (OH-PLIF) measurements. It was found that the POD based upon the PIV vectors only reveals flow features when the excitation is added. On contrary, the OH-PLIF based POD performs well in any case and constitutes a suitable base for the EPOD analysis.}},
  author       = {{Duwig, Christophe and Iudiciani, Piero}},
  issn         = {{1573-1987}},
  keywords     = {{Proper orthogonal decomposition; Linear stochastic estimation; Conditional averaging; Laminar flame dynamics}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{25--47}},
  publisher    = {{Springer}},
  series       = {{Flow, Turbulence and Combustion}},
  title        = {{Extended Proper Orthogonal Decomposition for Analysis of Unsteady Flames}},
  url          = {{http://dx.doi.org/10.1007/s10494-009-9210-6}},
  doi          = {{10.1007/s10494-009-9210-6}},
  volume       = {{84}},
  year         = {{2010}},
}