基于激光和粒子行为统计的激光衍射建模用于粒度表征

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Geyi Su, Minglei Guan, Mingxu Su
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引用次数: 0

摘要

建立了基于蒙特卡罗方法(MCM)的散射模型,研究了非对准激光束入射高浓度混合粒子体系时的光散射和消光特性。构建了一套获取散射光能分布的测量测试系统来验证模型的准确性,MCM与常规模型的最大均方根误差(RMSE)分别为0.006和0.011,实验结果表明MCM与常规模型的最大均方根误差(RMSE)为0.006和0.011。随后,引入差分进化(DE)算法,根据光谱含量推导出粒径分布。反演结果表明,MCM模型能有效地修正因入射光束不对准和高浓度引起的多重散射效应所造成的测量误差。与参考值的绝对相对误差由传统模型的33.08%和10.60%降至3.00%以内。此外,还成功地反演了三种不同粒径和混合比例的混合颗粒体系,最大绝对相对误差分别为8.31%、3.14%和5.41%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laser diffraction modeling based on laser and particle behaviour statistics for particle size characterization
A scattering model based on the Monte Carlo method (MCM) is developed to investigate the light scattering and extinction characteristics of non-aligned laser beams incident on a high concentration of mixed particle system. A set of measurement test systems for acquiring the scattered light energy distribution is constructed to verify the model accuracy, which yields the maximum root mean square errors (RMSE) among the MCM and the conventional model and the experimental results of 0.006 and 0.011, respectively. Subsequently, the differential evolution (DE) algorithm is introduced to deduce the particle size distribution based on the spectral content. The inversion results indicate that the MCM model can effectively correct the measurement errors caused by the non-aligned incident beams and multiple scattering effects due to high concentrations. Thus, the absolute relative errors compared with the reference values have been reduced from 33.08 % and 10.60 % for the conventional model to within 3.00 %. Additionally, three distinct sizes and mixing ratios of the mixed particle system have been successfully inverted with maximum absolute relative errors of 8.31 %, 3.14 %, and 5.41 %.
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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