Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals
Two kind of light scattering measurement methods, i.e. the forward light scattering measurement method and the angular light scattering measurement method, are applied to reconstruct the geometrical morphology of particle fractal aggregates. An improved attractive and repulsive particle swarm optimi...
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VINCA Institute of Nuclear Sciences
2021-01-01
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doaj-9567461ef41245e7ac67d87e831ed7122021-09-24T09:48:23ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632021-01-01255 Part B3715372810.2298/TSCI200214203X0354-98362000203XDetermining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signalsXu Liang0He Zhen-Zong1Mao Jun-Kui2Han Xing-Si3Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, P.R. ChinaJiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, P.R. ChinaJiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, P.R. ChinaJiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, P.R. ChinaTwo kind of light scattering measurement methods, i.e. the forward light scattering measurement method and the angular light scattering measurement method, are applied to reconstruct the geometrical morphology of particle fractal aggregates. An improved attractive and repulsive particle swarm optimization algorithm is applied to reconstruct the geometrical structure of fractal aggregates. It has been confirmed to show better convergence properties than the original particle swarm optimization algorithm and the attractive and repulsive particle swarm optimization algorithm. Compared with the forward light scattering measurement method, the angular light scattering measurement method can obtain more accurate and robust results as the distribution of the fitness function value obtained by the angular light scattering measurement method is more satisfactory. Meanwhile, the retrieval accuracy can be improved by increasing the number of measurement angles or the interval between adjacent measurement angles even when the random noises are added. All the conclusions have important guiding significance for the further study of the geometry reconstruction experiment of fractal aggregates.http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362000203X.pdflight scattering measurement methodgeometrical morphologyparticle fractal aggregateinverse radiation problem |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xu Liang He Zhen-Zong Mao Jun-Kui Han Xing-Si |
spellingShingle |
Xu Liang He Zhen-Zong Mao Jun-Kui Han Xing-Si Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals Thermal Science light scattering measurement method geometrical morphology particle fractal aggregate inverse radiation problem |
author_facet |
Xu Liang He Zhen-Zong Mao Jun-Kui Han Xing-Si |
author_sort |
Xu Liang |
title |
Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
title_short |
Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
title_full |
Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
title_fullStr |
Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
title_full_unstemmed |
Determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
title_sort |
determining of geometrical characteristic parameters of particle fractal aggregates from light scattering measurement signals |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2021-01-01 |
description |
Two kind of light scattering measurement methods, i.e. the forward light scattering measurement method and the angular light scattering measurement method, are applied to reconstruct the geometrical morphology of particle fractal aggregates. An improved attractive and repulsive particle swarm optimization algorithm is applied to reconstruct the geometrical structure of fractal aggregates. It has been confirmed to show better convergence properties than the original particle swarm optimization algorithm and the attractive and repulsive particle swarm optimization algorithm. Compared with the forward light scattering measurement method, the angular light scattering measurement method can obtain more accurate and robust results as the distribution of the fitness function value obtained by the angular light scattering measurement method is more satisfactory. Meanwhile, the retrieval accuracy can be improved by increasing the number of measurement angles or the interval between adjacent measurement angles even when the random noises are added. All the conclusions have important guiding significance for the further study of the geometry reconstruction experiment of fractal aggregates. |
topic |
light scattering measurement method geometrical morphology particle fractal aggregate inverse radiation problem |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362000203X.pdf |
work_keys_str_mv |
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_version_ |
1717369950861000704 |