Inversion of combustion gas temperature/concentration profile with radiation/turbulence interaction using SRS

Ko, Ju Yong; Kim, Hyun Keol; Song, Tao

doi:10.1016/j.jqsrt.2009.03.023

Cited by 10 publications

(3 citation statements)

References 16 publications

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“…− Hot exhaust gases, with temperatures between 500 K and 1000 K [28,29,34]. − Flame temperatures above 1000 K [38,39]. − Very high flame temperatures up to 5000 K [40,41].…”

Section: Classification Of Methods Of Spectral Remote Sensing Of Hot mentioning

confidence: 99%

Open-Path FTIR Spectral Radiation Intensity Of Hot Combustion Gases – Measurement And Interpretation

Cięszczyk¹

2015

Metrology and Measurement Systems

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Spectral remote sensing is a very popular method in atmospheric monitoring. The paper presents an approach that involves mid-infrared spectral measurements of combustion processes. The dominant feature in this spectral range is CO2 radiation, which is used to determine the maximum temperature of nonluminous flames. Efforts are also made to determine the temperature profile of hot CO2, but they are limited to the laboratory conditions. The paper presents an analysis of the radiation spectrum of a non-uniform-temperature gas environment using a radiative transfer equation. Particularly important are the presented experimental measurements of various stages of the combustion process. They allow for a qualitative description of the physical phenomena involved in the process and therefore permit diagnostics. The next step is determination of a non-uniform-temperature profile based on the spectral radiation intensity with the 8 m optical path length.

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“…− Hot exhaust gases, with temperatures between 500 K and 1000 K [28,29,34]. − Flame temperatures above 1000 K [38,39]. − Very high flame temperatures up to 5000 K [40,41].…”

Section: Classification Of Methods Of Spectral Remote Sensing Of Hot mentioning

confidence: 99%

Open-Path FTIR Spectral Radiation Intensity Of Hot Combustion Gases – Measurement And Interpretation

Cięszczyk¹

2015

Metrology and Measurement Systems

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“…This assumption appears to be valid over most of the gas spectrum for small-scale, lower-sooting flames and is known as the optically thin fluctuation assumption (OTFA), but questionable for very strong spectral lines. Ko et al [43] developed a spectral remote sensing method to retrieve mean temperature and concentration from spectral turbulent intensities using the CO 2 4.3 µm band by applying the OTFA. For their proposed method, it is claimed that the coupled temperature/concentration fluctuation amplitudes and mean values can be successfully inverted from optically measured intensity spectra.…”

Section: Introductionmentioning

confidence: 99%

Optical determination of temperature and concentrations of homogeneous turbulent gas mixtures

Ren

Modest

2017

International Journal of Heat and Mass Transfer

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In this study, we present an inverse radiation model to reconstruct time-averaged temperature, species concentrations and their root mean square (rms) values for turbulent gas mixtures, based on line-of-sight spectral transmissivity measurements. Time-averaged transmissivities and their rms values are successfully related to timeaveraged temperatures, species concentrations and their rms values by considering interactions between turbulence and radiation (TRI). The turbulence length scale is retrieved simultaneously with the turbulent scalars. Optimal wavenumber ranges for retrieving temperature and species concentrations of the gas mixtures are discussed. To validate the models, measured spectra are synthesized by calculations from HITEMP 2010 for turbulent gas mixtures of CO 2 , H 2 O and CO.

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“…This assumption appears to be valid over most of the gas spectrum for small-scale, lower-sooting flames and is known as the optically thin fluctuation assumption (OTFA), but questionable for very strong spectral lines. Ko et al [39] developed a spectral remote sensing method to retrieve mean temperature and concentration from spectral turbulent intensities using the CO 2 4.3 µm band by applying the OTFA. For their proposed method, it is claimed that the coupled temperature/concentration fluctuation amplitudes and mean values can be successfully inverted from optically measured intensity spectra.…”

Section: Introductionmentioning

confidence: 99%

Optical Determination of Temperature and Species Concentration for Homogeneous Turbulent Gas Medium

Ren¹,

Modest²

2016

Proceeding of First Thermal and Fluids Engineering Summer Conference

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In this study, we present an inverse calculation model to reconstruct time-averaged temperature, species concentration and their root mean square (rms) values from optical synthetic measurements for a homogeneous turbulent gaseous medium. The model is based on line-of-sight spectral transmissivity synthetic measurements, and time-averaged transmissivities and their rms values are successfully related to time-averaged temperatures, species concentrations and their rms values by considering interaction between turbulence and radiation (TRI). The turbulence length scale is also retrieved simultaneously with the turbulent scalars. In order to validate the model, a stochastic approach is used to generate synthetic turbulent fields (fluctuations of temperature and species concentration), and measured spectra are synthesized through calculations from HITEMP 2010 for different spectral bands of CO 2 , H 2 O and CO.

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Inversion of combustion gas temperature/concentration profile with radiation/turbulence interaction using SRS

Cited by 10 publications

References 16 publications

Open-Path FTIR Spectral Radiation Intensity Of Hot Combustion Gases – Measurement And Interpretation

Open-Path FTIR Spectral Radiation Intensity Of Hot Combustion Gases – Measurement And Interpretation

Optical determination of temperature and concentrations of homogeneous turbulent gas mixtures

Optical Determination of Temperature and Species Concentration for Homogeneous Turbulent Gas Medium

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