北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (5): 925-932.doi: 10.13700/j.bh.1001-5965.2019.0339

• 论文 • 上一篇    下一篇

基于散射光强度的碳黑团聚体分形结构和 粒径分布同时反演

张俊友1,2, 齐宏1,2, 王一飞1,2, 任亚涛1,2, 阮立明1,2   

  1. 1. 哈尔滨工业大学 能源科学与工程学院, 哈尔滨 150001;
    2. 哈尔滨工业大学 空天热物理工业和信息化部重点实验室, 哈尔滨 150001
  • 收稿日期:2019-06-28 发布日期:2020-05-19
  • 通讯作者: 齐宏 E-mail:qihong@hit.edu.cn
  • 作者简介:张俊友 男,博士研究生。主要研究方向:碳黑团聚体的光学诊断及光散射反问题;齐宏 男,博士,教授,博士生导师。主要研究方向:热辐射传输与耦合换热、高温弥散颗粒辐射物性及温度测量、辐射传输逆问题及智能优化算法等;阮立明 男,博士,教授,博士生导师。主要研究方向:热辐射传输与耦合换热、高温弥散颗粒辐射物性及温度测量、微藻新能源利用等。
  • 基金资助:
    国家自然科学基金(51976044,51806047)

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

ZHANG Junyou1,2, QI Hong1,2, WANG Yifei1,2, REN Yatao1,2, RUAN Liming1,2   

  1. 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
  • Received:2019-06-28 Published:2020-05-19

摘要: 利用散射光信号实现碳黑团聚体分形结构和粒径分布参数的同时反演,在火焰辐射换热模拟和污染物测定方面有着重要应用价值。反演的正问题基于瑞利-德拜-甘斯多分散分形团聚体(RDG-PFA)散射理论,研究了2种信号方案,包括多角度散射及多角度散射-准直透射率。反演前,对比2种信号方案的残余适应度值分布发现,散射与透射信号同时使用有效减弱了反问题的病态性。反演过程基于协方差矩阵自适应的演化策略(CMA-ES)算法,该算法具有很强的局部搜索能力,为快速且稳定地反演各个目标参数提供了保障。反演结果表明了CMA-ES算法较大搜索空间内的可行性和普适性,同时也证明了采用多角度散射-准直透射率的组合信号有效提高了目标参数的反演精度。

关键词: 光散射, 碳黑, 团聚体, 分形维度, 反问题, 优化算法

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.

Key words: light scattering, soot, aggregate, fractal dimension, inverse problems, optimization algorithm

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发