On the treatment of self-absorption for temperature and concentration profiles reconstruction accuracy for soot and metal-oxide nanoparticles in nanofluid fuel flame using a CCD camera

The treatment of self-absorption for temperature and concentration profiles reconstruction accuracy for soot and metal-oxide nanoparticles in a nanofluid fuel flame from the emission radiation intensities received by a charge-coupled device (CCD) camera was presented. The unattenuated radiation intensities were recovered from the values attenuated by the self-absorption of soot and metal-oxide nanoparticles through iteration calculation, and the least-square QR (LSQR) decomposition algorithm was used to deconvolute the integral unattenuated radiation intensities. The results shown that the reconstruction method considering the self-absorption can greatly improve the reconstruction accuracy of the temperature and concentration profiles, which was promising to monitor the combustion processes of nanofluid fuel flames for moderate adjusting the flame to promote the fuel combustion efficiency and decrease the pollutant emissions.