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DETERMINING OF GEOMETRICAL CHARACTERISTIC PARAMETERS OF PARTICLE FRACTAL AGGREGATES FROM LIGHT SCATTERING MEASUREMENT SIGNALS

ABSTRACT
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.
KEYWORDS
PAPER SUBMITTED: 2020-02-14
PAPER REVISED: 2020-06-29
PAPER ACCEPTED: 2020-07-02
PUBLISHED ONLINE: 2020-07-11
DOI REFERENCE: https://doi.org/10.2298/TSCI200214203X
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 5, PAGES [3715 - 3728]
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© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence