可视化的二维温度场分布反演软件对温度场重建分布起到了重要的作用。基于可调谐二极管激光吸收光谱(tunable diode laser absorption spectroscopy, TDLAS)技 术,结合代数迭代算法(algebraic reconstruction technique, ART)和Python设计语言,在读取两组积分吸光度的基础上,设计了二维温度场分布的可视化软件。 结合激光吸收光谱技术和计算机断层扫描方法,封装了二维温度场重建的算法。在此基础上,添加可视化的操作界面,实现二维温度场重建的原 始分布和插值后的分布。针对高斯分布的重建,与原始分布进行比较,结果显示,中心区域温度值较高,边缘较小。结果表明, ART算法和TDLAS技术的结合能够 很好地实现二维温度场的反演,克服了TDLAS视线测量的缺陷。

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 in 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.