Developments of a Cross-Correlation Calculation Algorithm for Gas Temperature Distributions Based on TDLAS

- Journal title : Transactions of the Korean hydrogen and new energy society
- Volume 27, Issue 1, 2016, pp.127-134
- Publisher : The Korean Hydrogen and New Energy Society
- DOI : 10.7316/KHNES.2016.27.1.127

Title & Authors

Developments of a Cross-Correlation Calculation Algorithm for Gas Temperature Distributions Based on TDLAS

CHOI, DOOWON; KIM, KWANGNAM; CHO, GYONGRAE; SHIM, JOONHWAN; KIM, DONGHYUK; DEGUCHI, YOSHIHIRO; DOH, DEOGHEE;

CHOI, DOOWON; KIM, KWANGNAM; CHO, GYONGRAE; SHIM, JOONHWAN; KIM, DONGHYUK; DEGUCHI, YOSHIHIRO; DOH, DEOGHEE;

Abstract

Most of reconstruction algorithms for the calculation of temperature distributions in CT (computed tomography)-TDLAS (tunable diode laser absorption spectroscopy) are based upon two-line thermometry method. This method gives unstable calculation convergence due to signal noise, bias error, and signal mis-matches. In this study, a new reconstruction algorithm based on cross-correlation for temperature calculation is proposed. The patterns of the optical signals at all wave lengths were used to reconstruct the temperature distribution. Numerical test has been made using phantom temperature distributions. Using these phantom temperature data, absorption spectra for all wave lengths were constructed, and these spectra were regarded as the signals that would be obtained in an actual experiments. Using these virtually generated experimental signals, temperature distribution was once again reconstructed, and was compared with those of the original phantom data. Calculation errors obtained by the newly proposed algorithm were slightly large at high temperatures with small errors at low temperature.

Keywords

CT;TDLAS;Cross-Correlation;Numerical Test;Phantom Temperature;

Language

Korean

Cited by

References

1.

Y. Deguchi, Industrial applications of Laser Diagnostics, CRS Press, Taylor & Francis, 2011.

2.

M. Yamakage, K. Muta, Y. Deguchi, S. Fukada, T. Iwase, T. Yoshida, "Development of direct and fast response exhaust gas measurement," SAE Paper 20081298, 2008.

3.

P. Wright, N. Terzijaa, J. L. Davidsona, S. Garcia-Castillo, C. Garcia-Stewart, S. Pegrumb, S. Colbourneb, P. Turnerb, S. D. Crossleyc, T. Litt, S. Murrayc, K. B. Ozanyana, and H. McCanna, "High-speed chemical species tomography in a multi-cylinder automotive engine," Journal of Chemical Engineering, 158(1), pp. 2-10, 2010.

4.

F. Wang, K. F. Cen, N. Li, J. B. Jeffries, Q. X. Huang, J. H. Yan, and Y. Chi, "Two-dimensional tomography for gas concentration and temperature distributions based on tunable diode laser absorption spectroscopy," Meas. Sci. Technol. 21, 045301 (10pp), 2010.

5.

L. Ma and W. Cai : Numerical investigation of hyperspectral tomography for simultaneous temperature and concentration imaging, APPLIED OPTICS, 47(21), pp. 3751-3759, 2008.

6.

D. W. Choi, M.G. Jeon, G.R. Cho, T. Kamimoto, Y. Deguchi and D.H. Doh, Performance Improvements in Temperature Reconstructions of 2-D Tunable Diode Laser Absorption Spectroscopy (TDLAS), Journal of Thermal Science, Vol. 25, No. 1, pp. 84-89, 2016.

7.

G.E. Elsinga, F. Scarano, B. Wieneke, and B. W. van Oudheusden. Tomographic particle image velocimetry, Experiments in Fluids, Vol. 41, pp. 933-947, 2006.

8.

L.S. Rothman, I.E. Gordon, A. Barbe, D. ChrisBenner, P.F. Bernath, M. Birk, V. Boudon, L.R. Brown, A. Campargue, J.-P. Champion, K. Chance, L.H.Coudert, V. Dana, V.M. Devi, S. Fally, J.-M. Flaud, R.R.Gamache, A. Goldman, D. Jacquemart, I. Kleiner, N. Lacome, W.J. Lafferty, J.-Y. Mandin, S.T. Massie, S.N. Mikhailenko, C.E. Miller, N. Moazzen-Ahmadi, O.V. Naumenko, A.V. Nikitin, J. Orphal, V.I. Perevalov, A. Perrin, A. Predoi-Cross, C.P. Rinsland, M. Rotger, M. Simeckova, M.A.H. Smith, K. Sung, S.A. Tashkun, J. Tennyson, R.A. Toth, A.C. Vandaele, and J. VanderAuwera, "The HITRAN2008 molecular spectroscopic database," Journal of Quantitative Spectroscopy & Radiative Transfer, 110, pp. 533-572 2009.