Software Design Based on TDLAS for Two-Dimensional Temperature Field Distribution Inversion

Abstract

Abstract:

The visualization of 2D temperature field distribution inversion software plays an important role in the distribution of temperature field reconstruction. Based on tunable diode laser absorption spectroscopy (TDLAS) technology, combined with the algebraic reconstruction technique (ART) and Python programming language, based on two groups of integral absorbance, the visualization software of two-dimensional temperature field distribution was designed. Combined with laser absorption spectroscopy and computed tomography method, the two-dimensional temperature field reconstruction algorithm was packaged. Then the visual interface was added and the original distribution and the interpolation distribution of the two-dimensional temperature field reconstruction were achieved. The reconstructed results are of higher temperature of central zone and lower edge, which indicates that the ART algorithm and TDLAS technology can be combined to achieve the 2D temperature field and overcome the defect of TDLAS line-of-sight measurement.

Key words: tunable diode laser absorption spectroscopy, algebraic reconstruction technique, 2D temperature filed reconstruction, Python

CLC Number:

O433

CHEN Fu-Duo, LIU Jian-Guo, KAN Rui-Feng, HU Zhen-Yu, XIA Hui-Hui, CHEN Xiang. Software Design Based on TDLAS for Two-Dimensional Temperature Field Distribution Inversion[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(5): 393-400.

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