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

Weijie Yan, Zhichao Hu, Kuangyu Li, Xiaoyu Xing, Huifang Gong, Bo Yu and Huaichun Zhou
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Weijie Yan: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Zhichao Hu: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Kuangyu Li: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xiaoyu Xing: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Huifang Gong: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Bo Yu: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Huaichun Zhou: School of Low-Carbon Energy and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China

Energies, 2022, vol. 15, issue 8, 1-18

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

Keywords: asymmetric flame; invisible image processing; temperature distribution; soot volume fraction; tomographic reconstruction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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