Two-Dimensional Flame Temperature and Emissivity Distribution Measurement Based on Element Doping and Energy Spectrum Analysis

Abstract

Most of the existing non-contact flame temperature measurement methods rely on the ideal thermal-optical excitation model, which has a great influence on temperature measurement accuracy. Therefore, based on element doping and energy spectrum analysis, this study proposes a novel twodimensional (2-D) estimation method for flame temperature and emissivity distribution. The element doping method and laser-induced breakdown spectroscopy (LIBS) are introduced into the temperature field test. The external doped element whose spectral radiation characteristics are easy to be analyzed, is regarded as the measured particles to describe the flame temperature distribution from the side. And LIBS is used to analyze and select the doped element, and further determine the effective working wavelength of the optical camera. Besides, the relationship between spectral radiance and emissivity (L -ε) of doped samples is obtained by the emissivity calibration experiment. Then, the 2-D temperature and emissivity distributions can be estimated. Infrared thermograph is used to verify the accuracy of temperature measurement, the measurement error between calculated and standard values is not more than 5%. The experimental results of the oxygen-ethanol combustion flame show that this method can be well applied to the similar temperature measurement.INDEX TERMS Temperature measurement, Spectral emissivity, Element doping, Spectral analysis.

Flame Edge Detection Method Based on a Convolutional Neural Network

“…The combustion device is described in the paper. 30 Figure 6 b shows the oxygen–ethanol flame. Figure 6 c is the energetic material flame.…”

“…Relationships between the temperature of the blackbody cavity and image gray value ( T – G ), radiation brightness, and image gray value ( L – G ) were calculated. Finally, the temperature field of the oxygen ethanol flame was calculated using the equation 30 …”

“…Figure a shows the butane–air flame. The combustion device is described in the paper Figure b shows the oxygen–ethanol flame.…”

“…After extracting the edge of the oxygen–ethanol flame, as shown in Figure b, we designed an element doping method combined with laser-induced breakdown spectroscopy (LIBS) , to measure flame temperature. First, we used LIBS to analyze the energy spectrum of the energetic materials and selected K 2 SO 4 as an appropriate dopant.…”

Machine Learning Sorting Method of Bauxite Based on SE-Enhanced Network

“…The intervention of professionals in ore separation is reduced, which not only improves the beneficiation capacity, but also reduces the process abnormality and equipment failure rate. The combination of convolution neural network and spectral technology [8][9][10], ore image segmentation [11], ABC-BP (Artificial Bee Colony-Back Propagation) neural network [12], and other improved methods [13][14][15] are used to realize the ore classification of image recognition and effectively solve the problem of manual separation in the process of ore production.…”