Transactions of Nanjing University of Aeronautics & Astronautics
Application of Light Reflectance-Transmittance Measurement Method to Reconstruct Geometrical Morphology of Particle Fractal Aggregates
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Abstract:
Particles， including soot， aerosol and ash， usually exist as fractal aggregates. The radiative properties of the particle fractal aggregates have a great influence on studying the light or heat radiative transfer in the particle medium. In the present work， the performance of the single-layer inversion model and the double-layer inversion model in reconstructing the geometric structure of particle fractal aggregates is studied based on the light reflectance-transmittance measurement method. An improved artificial fish-swarm algorithm （IAFSA） is proposed to solve the inverse problem. The result reveals that the accuracy of double-layer inversion model is more satisfactory as it can provide more uncorrelated information than the single-layer inversion model. Moreover， the developed IAFSA show higher accuracy and better robustness than the original artificial fish swarm algorithm （AFSA） for avoiding local optimization problems effectively. As a whole， the present work supplies a useful kind of measurement technology for predicting geometrical morphology of particle fractal aggregates.
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Project Supported:
This work was supported by the National Natural Science Foundation of China （No. 51806103）， the Natural Science Foundation of Jiangsu Province （No. BK20170800）， and the Aeronautical Science Foundation of China （No. 201928052002）.
Clc Number:
TK123
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