Simultaneous Determination of Non-Uniform Soot Temperature and Volume Fraction from Flame Images

This paper presents a method to invert the two-dimensional distribution of temperature and volume fraction of soot particles from flame images. The temperature field and particle volume concentration field of the non-uniform soot flame are simultaneously reconstructed using the wide response spectrum of the color CCD camera without adding monochromatic filters. The influences of the number of cameras, error of cameras position angle, measurement noise and different reconstruction algorithms on the measurement accuracy, are analyzed. The numerical simulation results demonstrate that the error of cameras position angle plays a crucial role in the reconstruction accuracy. In addition, increasing the number of cameras can improve the reconstruction results accuracy. Compared with the least squares algorithm, the Tikhonov regularization algorithm has a stronger anti-noise ability, which can resist 39 dB of noise. The conclusions obtained in this paper are helpful to guide the following experimental studies.