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Influence of Line Pair Selection on Flame Tomography Using Infrared Absorption Spectroscopy.

Kin-Pang CheongLiuhao MaZhen WangWei Ren
Published in: Applied spectroscopy (2018)
We report the influence of absorption line selection on the tomographic results for high-temperature flames by numerical and experimental methods. Different combinations of infrared H2O absorption transitions are utilized with the Tikhonov-regularized Abel inversion to reconstruct the radial distribution of temperature and H2O concentration in a flat flame. It is shown that besides using the mathematical algorithm such as regularization, selecting a line pair with a large Δ E″ (>1390 cm-1) also reduces the reconstruction uncertainty at 300-2000 K. In this study, a proper selection of absorption line pairs reduces the reconstruction uncertainty by 25% at the same level of noise. The line pair of H2O transitions at 4029.524 cm-1 and 4030.729 cm-1 is recommended for the tomography of high-temperature flames at 1000-3000 K, whereas the line pair of 7185.597 cm-1 and 7444.352 cm-1 can be used at 300-1000 K.
Keyphrases
  • high temperature
  • machine learning
  • computed tomography
  • magnetic resonance imaging
  • deep learning
  • high resolution
  • mass spectrometry
  • contrast enhanced
  • electron microscopy