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Volume 46 Issue 5
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Journal of Beijing University of Aeronautics and Astronautics  > 2020  >  46(5): 925-932.
Xing Qiujun, Jiao Zongxia, Wu Shuaiet al. Hydraulic system modeling language base on finite volume and implementation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(4): 499-504. (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)
shu

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
  • 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

  • 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.

     

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    • References(17)
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