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Simultaneous multispectral imaging of flame species using Frequency Recognition Algorithm for Multiple Exposures (FRAME)

Li, Zheming LU ; Borggren, Jesper LU ; Berrocal, Edouard LU ; Ehn, Andreas LU ; Aldén, Marcus LU ; Richter, Mattias LU and Kristensson, Elias LU (2018) In Combustion and Flame 192. p.160-169
Abstract

Imaging the interaction between different combustion species under turbulent flame conditions requires methods that both are extremely fast and provide means to spectrally separate different signals. Current experimental solutions to achieve this often rely on using several cameras that are time-gated and/or equipped with different spectral filters. In this work we explore a technique called Frequency Recognition Algorithm for Multiple Exposures (FRAME) as an alternative solution for instantaneous multispectral imaging of flame species. The method is based on exciting different species with different spatial “codes” and to separate each signal component using a spatial frequency-sensitive lock-in algorithm. This methodology permits the... (More)

Imaging the interaction between different combustion species under turbulent flame conditions requires methods that both are extremely fast and provide means to spectrally separate different signals. Current experimental solutions to achieve this often rely on using several cameras that are time-gated and/or equipped with different spectral filters. In this work we explore a technique called Frequency Recognition Algorithm for Multiple Exposures (FRAME) as an alternative solution for instantaneous multispectral imaging of flame species. The method is based on exciting different species with different spatial “codes” and to separate each signal component using a spatial frequency-sensitive lock-in algorithm. This methodology permits the signal from several different species to be recorded at the exact same time with a single camera. Furthermore, since the signals are recognized based on the superimposed spatial codes, there is no need for spectral separation prior to detection. The entire fluorescence envelope from each species can thus, in principle, be detected. In the current work, we present simultaneous planar laser-induced fluorescence imaging of OH and CH2O in a turbulent dimethyl ether (DME)/air flame.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Laser-induced fluorescence, Multispectral imaging, Simultaneous detection, Species detection, Structured illumination
in
Combustion and Flame
volume
192
pages
10 pages
publisher
Elsevier
external identifiers
  • scopus:85042407079
ISSN
0010-2180
DOI
10.1016/j.combustflame.2018.02.009
language
English
LU publication?
yes
id
1a117f03-430b-49e8-b81b-2bbc068a45a9
date added to LUP
2018-03-08 08:22:47
date last changed
2018-05-29 09:39:40
@article{1a117f03-430b-49e8-b81b-2bbc068a45a9,
  abstract     = {<p>Imaging the interaction between different combustion species under turbulent flame conditions requires methods that both are extremely fast and provide means to spectrally separate different signals. Current experimental solutions to achieve this often rely on using several cameras that are time-gated and/or equipped with different spectral filters. In this work we explore a technique called Frequency Recognition Algorithm for Multiple Exposures (FRAME) as an alternative solution for instantaneous multispectral imaging of flame species. The method is based on exciting different species with different spatial “codes” and to separate each signal component using a spatial frequency-sensitive lock-in algorithm. This methodology permits the signal from several different species to be recorded at the exact same time with a single camera. Furthermore, since the signals are recognized based on the superimposed spatial codes, there is no need for spectral separation prior to detection. The entire fluorescence envelope from each species can thus, in principle, be detected. In the current work, we present simultaneous planar laser-induced fluorescence imaging of OH and CH<sub>2</sub>O in a turbulent dimethyl ether (DME)/air flame.</p>},
  author       = {Li, Zheming and Borggren, Jesper and Berrocal, Edouard and Ehn, Andreas and Aldén, Marcus and Richter, Mattias and Kristensson, Elias},
  issn         = {0010-2180},
  keyword      = {Laser-induced fluorescence,Multispectral imaging,Simultaneous detection,Species detection,Structured illumination},
  language     = {eng},
  month        = {06},
  pages        = {160--169},
  publisher    = {Elsevier},
  series       = {Combustion and Flame},
  title        = {Simultaneous multispectral imaging of flame species using Frequency Recognition Algorithm for Multiple Exposures (FRAME)},
  url          = {http://dx.doi.org/10.1016/j.combustflame.2018.02.009},
  volume       = {192},
  year         = {2018},
}