• Chinese Journal of Lasers
  • Vol. 43, Issue 11, 1111002 (2016)
Peng Dong1, Jin Yi2, and Zhai Chao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/cjl201643.1111002 Cite this Article Set citation alerts
    Peng Dong, Jin Yi, Zhai Chao. Reconstruction Algorithms for 2D Temperature Field Based on TDLAS[J]. Chinese Journal of Lasers, 2016, 43(11): 1111002 Copy Citation Text show less

    Abstract

    Tunable diode laser absorption spectroscopy (TDLAS) combining with computer tomography (CT) algorithm can realize 2D reconstruction measurement of temperature of flow field, concentration and so on. Two different typical algorithms including algebraic reconstruction technique (ART) algorithm and simulated annealing (SA) algorithm are implemented to study the influence of tomography algorithm on the 2D reconstruction quality of temperature field. Reconstruction simulations of unimodal temperature field and bimodal temperature field are done under different beam arrangements and absorption lines with two algorithms, and the reconstruction results of two algorithms are compared and analyzed. The simulation results indicate that the reconstruction quality of ART algorithms is mainly affected by the beam arrangement while the SA algorithm is more sensitive to the number of absorption spectral lines. More specifically, for unimodal temperature field, the maximum deviation of the reconstructed results of ART algorithm is 5.6%, which is slightly better than 6.2% of SA algorithm using 6 absorption lines. For bimodal temperature field, the maximum deviation of the reconstructed results of SA algorithm is 5.5%, whiles that of ART algorithm is up to 22%.