Axisymmetric Linear Hyperspectral Absorption Spectroscopy and Residuum-Based Parameter Selection on a Counter Flow Burner
Johannes Emmert,
Martina Baroncelli,
Sani v.d. Kley,
Heinz Pitsch and
Steven Wagner
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Johannes Emmert: Department of Reactive Flows and Diagnostics, Technische Universität Darmstadt, 64287 Darmstadt, Germany
Martina Baroncelli: Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany
Sani v.d. Kley: Department of Reactive Flows and Diagnostics, Technische Universität Darmstadt, 64287 Darmstadt, Germany
Heinz Pitsch: Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany
Steven Wagner: Department of Reactive Flows and Diagnostics, Technische Universität Darmstadt, 64287 Darmstadt, Germany
Energies, 2019, vol. 12, issue 14, 1-12
Abstract:
Chemical species tomography enables non-invasive measurements of temperatures and concentrations in gas phase processes. In this work, we demonstrate the recently introduced linear hyperspectral absorption tomography (LHAT) on an axisymmetric counterflow burner used for speciation studies of Oxyfuel combustion. As LHAT reconstructs spectrally resolved local absorption coefficient spectra, the physical plausibility of these reconstructed spectra degrades with an over-regularization of the tomographic problem. As presented in this work, this behavior can be employed in a novel regularization parameter choice method based on the residuals of local spectroscopic fits to the reconstructed spectra. After determining the regularization parameter, the reconstructions of the temperature and water mole fraction profiles of different flames are compared to numerical simulations, showing a good agreement.
Keywords: tomography; parameter selection; absorption spectroscopy; tunable diode laser; Oxyfuel (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:14:p:2786-:d:250017
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