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

레이저흡수분광법(TDLAS) 기반 가스온도분포 산정을 위한 상호상관계산 알고리듬 개발

  • Received : 2016.02.03
  • Accepted : 2016.02.28
  • Published : 2016.02.29

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

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Cited by

  1. 2D Temperature Measurement of CT-TDLAS by Using Two-Ratios-of-Three-Peaks Algorithm vol.27, pp.3, 2016, https://doi.org/10.7316/KHNES.2016.27.3.318
  2. Study on Optimal Coefficients of Line Broadening Function for Performance Enhancements of CT-TDLAS vol.27, pp.6, 2016, https://doi.org/10.7316/KHNES.2016.27.6.773

Acknowledgement

Supported by : 한국연구재단