Simultaneous inversion of fractal morphology and particle size distribution of soot aggregate based on light scattering intensity

ZHANG Junyou; QI Hong; WANG Yifei; REN Yatao; RUAN Liming

doi:10.13700/j.bh.1001-5965.2019.0339

Volume 46 Issue 5

May 2020

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Abstract

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Journal of Beijing University of Aeronautics and Astronautics > 2020 > 46(5): 925-932.

ZHANG Junyou, QI Hong, WANG Yifei, et al. Simultaneous inversion of fractal morphology and particle size distribution of soot aggregate based on light scattering intensity[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(5): 925-932. doi: 10.13700/j.bh.1001-5965.2019.0339(in Chinese)

Citation:

ZHANG Junyou, QI Hong, WANG Yifei, et al. Simultaneous inversion of fractal morphology and particle size distribution of soot aggregate based on light scattering intensity[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(5): 925-932. doi: 10.13700/j.bh.1001-5965.2019.0339(in Chinese)

Citation:

ZHANG Junyou, QI Hong, WANG Yifei, et al. Simultaneous inversion of fractal morphology and particle size distribution of soot aggregate based on light scattering intensity[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(5): 925-932. doi: 10.13700/j.bh.1001-5965.2019.0339(in Chinese)

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Simultaneous inversion of fractal morphology and particle size distribution of soot aggregate based on light scattering intensity

doi: 10.13700/j.bh.1001-5965.2019.0339

ZHANG Junyou^{1, 2},
QI Hong^{1, 2
,
,},
WANG Yifei^{1, 2},
REN Yatao^{1, 2},
RUAN Liming^{1, 2}

1.
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
2.
Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150001, China

Funds:

National Natural Science Foundation of China 51976044

National Natural Science Foundation of China 51806047

More Information

Corresponding author: QI Hong, E-mail: qihong@hit.edu.cn
Received Date: 28 Jun 2019
Accepted Date: 14 Aug 2019
Publish Date: 20 May 2020

Abstract

Abstract

The use of light scattering signals to achieve the simultaneous inversion of the fractal morphology and particle size distribution parameters of soot aggregates have important application value in flame radiation heat transfer simulation and pollution control. The direct model of inversion is based on the Rayleigh-Debye-Gans Polydisperse Fractal Approximation (RDG-PFA) light scattering theory. Two signal schemes were investigated: multi-angle scattering, multi-angle scattering and collimated transmittance. Before the inversion, by comparing the residual fitness value distributions of the two signal schemes, it is found that the simultaneous use of scattering and transmission signals effectively reduces the ill-posedness of the inverse problem. The inversion process is based on the Covariance Matrix Adaptive Evolutionary Strategy (CMA-ES) algorithm, which has a strong local search capability and provides a guarantee for fast and stable inversion of each target parameter. The final inversion results demonstrate the feasibility and universality of the method in a large search space. And it is also proved that the combination of multi-angle scattering and collimated transmittance effectively improves the inversion accuracy of the target parameters.
- light scattering,
- soot,
- aggregate,
- fractal dimension,
- inverse problems,
- optimization algorithm

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References(17)

References

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