Study on multi-spectral inversion of temperature and soot concentration in flames

Abstract

[Objectives]In order to accurately understand the temperature inside the flame and the distribution of soot concentration,[Methods]the distribution of the two-dimensional temperature and the soot volume fraction inverted from the spectral intensity image of the flame was studied using a hyper-spectrometer. Firstly,a hyper-spectrometer was used to capture the laboratory's vinyl laminar diffusion flame to obtain a high-resolution image containing multi-spectral information. Then, the wavelength in the image was analyzed and screened,the multi-wavelength radiation intensity information was obtained by calibrating the blackbody furnace,and the two-dimensional distribution of the flame temperature and the soot volume fraction was obtained by inversion.[Results]Comparing the obtained flame temperature with the results from other literature,the maximum temperature deviation is 2.77%, and the results are in good agreement,[Conclusions]indicating the accuracy of the distribution of temperature and soot volume fraction.

Keywords

• inversion algorithm
• flame temperature distribution
• soot volume fraction
• hyperspectrometer