레이저흡수분광법(TDLAS) 기반 가스온도분포 산정을 위한 상호상관계산 알고리듬 개발

• Published in: 한국수소 및 신에너지학회 논문집 Vol. 27; no. 1; pp. 127 - 134
• Main Authors: 최두원(Doowon Choi), 김광남(Kwangnam Kim), 조경래(Gyongrae Cho), 심준환(Joonhwan Shim), 김동혁(Donghyuk Kim), Yoshihiro Deguchi, 도덕희(Deoghee Doh)
• Format: Journal Article
• Language: Korean
• Published: 한국수소및신에너지학회 2016
• Subjects: 기계공학; Cross-Correlation; CT; TDLAS; 컴퓨터토모그래피; 가상 온도; 레이저흡수분광법; 수치적 시험; Phantom Temperature; Numerical Test; 상호상관
• ISSN: 1738-7264; 2288-7407
• DOI: 10.7316/KHNES.2016.27.1.127

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.