Performance improvements in temperature reconstructions of 2-D tunable diode laser absorption spectroscopy (TDLAS)

  • Doo Won Choi
  • , Min Gyu Jeon
  • , Gyeong Rae Cho
  • , Takahiro Kamimoto
  • , Yoshihiro Deguchi
  • , Deog Hee Doh

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Performance improvement was attained in data reconstructions of 2-dimensional tunable diode laser absorption spectroscopy (TDLAS). Multiplicative Algebraic Reconstruction Technique (MART) algorithm was adopted for data reconstruction. The data obtained in an experiment for the measurement of temperature and concentration fields of gas flows were used. The measurement theory is based upon the Beer-Lambert law, and the measurement system consists of a tunable laser, collimators, detectors, and an analyzer. Methane was used as a fuel for combustion with air in the Bunsen-type burner. The data used for the reconstruction are from the optical signals of 8-laser beams passed on a cross-section of the methane flame. The performances of MART algorithm in data reconstruction were validated and compared with those obtained by Algebraic Reconstruction Technique (ART) algorithm.

Original languageEnglish
Pages (from-to)84-89
Number of pages6
JournalJournal of Thermal Science
Volume25
Issue number1
DOIs
StatePublished - 1 Feb 2016
Externally publishedYes

Keywords

  • ART
  • Data Reconstruction
  • MART
  • TDLAS

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