Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography

Chang Liu; Lijun Xu; Zhang Cao; Fangyan Li; Yuzhen  Lin

doi:10.1109/IST.2016.7738249

Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography

Chang Liu, Lijun Xu, Zhang Cao, Fangyan Li, Yuzhen Lin

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

In this paper, one-dimensional tunable diode laser absorption spectroscopy tomography (1D-TDLAST) is employed to reconstruct the rotationally symmetric temperature distribution for the swirling flame generated by a swirl-stabilized gas turbine model combustor. The H 2 O transitions at 7185.597 cm -1 and 7444.36 cm -1 are used because of their moderate line strengths and good temperature sensitivities. The fan-beam illumination penetrates the target swirling flame and is detected by a detector array with 12 equally-spaced photodetectors. Once the transmitted laser intensities are detected, the projections are extracted and utilized by a one-dimensional tomographic algorithm to reconstruct the temperature distribution.

Original language	English
Title of host publication	2016 IEEE International Conference on Imaging Systems and Techniques (IST)
Publisher	Institute of Electrical and Electronics Engineers
Pages	346-349
DOIs	https://doi.org/10.1109/IST.2016.7738249
Publication status	Published - 10 Nov 2016
Event	2016 IEEE International Conference on Imaging Systems and Techniques - Crete Island, Greece Duration: 4 Oct 2016 → 6 Oct 2016

Conference

Conference	2016 IEEE International Conference on Imaging Systems and Techniques
Country/Territory	Greece
City	Crete Island
Period	4/10/16 → 6/10/16

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10.1109/IST.2016.7738249

Cite this

@inproceedings{82e59ba168044bdcb8152ab9b48f672d,

title = "Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography",

abstract = "In this paper, one-dimensional tunable diode laser absorption spectroscopy tomography (1D-TDLAST) is employed to reconstruct the rotationally symmetric temperature distribution for the swirling flame generated by a swirl-stabilized gas turbine model combustor. The H 2 O transitions at 7185.597 cm -1 and 7444.36 cm -1 are used because of their moderate line strengths and good temperature sensitivities. The fan-beam illumination penetrates the target swirling flame and is detected by a detector array with 12 equally-spaced photodetectors. Once the transmitted laser intensities are detected, the projections are extracted and utilized by a one-dimensional tomographic algorithm to reconstruct the temperature distribution.",

author = "Chang Liu and Lijun Xu and Zhang Cao and Fangyan Li and Yuzhen Lin",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/IST.2016.7738249",

language = "English",

pages = "346--349",

booktitle = "2016 IEEE International Conference on Imaging Systems and Techniques (IST)",

publisher = "Institute of Electrical and Electronics Engineers",

note = "2016 IEEE International Conference on Imaging Systems and Techniques ; Conference date: 04-10-2016 Through 06-10-2016",

}

Liu, C, Xu, L, Cao, Z, Li, F & Lin, Y 2016, Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography. in 2016 IEEE International Conference on Imaging Systems and Techniques (IST). Institute of Electrical and Electronics Engineers, pp. 346-349, 2016 IEEE International Conference on Imaging Systems and Techniques, Crete Island, Greece, 4/10/16. https://doi.org/10.1109/IST.2016.7738249

Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography. / Liu, Chang; Xu, Lijun; Cao, Zhang et al.
2016 IEEE International Conference on Imaging Systems and Techniques (IST). Institute of Electrical and Electronics Engineers, 2016. p. 346-349.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography

AU - Liu, Chang

AU - Xu, Lijun

AU - Cao, Zhang

AU - Li, Fangyan

AU - Lin, Yuzhen

PY - 2016/11/10

Y1 - 2016/11/10

N2 - In this paper, one-dimensional tunable diode laser absorption spectroscopy tomography (1D-TDLAST) is employed to reconstruct the rotationally symmetric temperature distribution for the swirling flame generated by a swirl-stabilized gas turbine model combustor. The H 2 O transitions at 7185.597 cm -1 and 7444.36 cm -1 are used because of their moderate line strengths and good temperature sensitivities. The fan-beam illumination penetrates the target swirling flame and is detected by a detector array with 12 equally-spaced photodetectors. Once the transmitted laser intensities are detected, the projections are extracted and utilized by a one-dimensional tomographic algorithm to reconstruct the temperature distribution.

AB - In this paper, one-dimensional tunable diode laser absorption spectroscopy tomography (1D-TDLAST) is employed to reconstruct the rotationally symmetric temperature distribution for the swirling flame generated by a swirl-stabilized gas turbine model combustor. The H 2 O transitions at 7185.597 cm -1 and 7444.36 cm -1 are used because of their moderate line strengths and good temperature sensitivities. The fan-beam illumination penetrates the target swirling flame and is detected by a detector array with 12 equally-spaced photodetectors. Once the transmitted laser intensities are detected, the projections are extracted and utilized by a one-dimensional tomographic algorithm to reconstruct the temperature distribution.

U2 - 10.1109/IST.2016.7738249

DO - 10.1109/IST.2016.7738249

M3 - Conference contribution

SP - 346

EP - 349

BT - 2016 IEEE International Conference on Imaging Systems and Techniques (IST)

PB - Institute of Electrical and Electronics Engineers

T2 - 2016 IEEE International Conference on Imaging Systems and Techniques

Y2 - 4 October 2016 through 6 October 2016

ER -

Reconstruction of temperature distribution for swirling flames using one-dimensional TDLAS tomography

Abstract / Description of output

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