Abstract
In the small-angle forward scattering technique, an inversion method of particle size distribution (PSD) using artificial fish swarm algorithm (AFSA) is proposed, which can acquire optimal characteristic parameters of the PSD. Simulations are performed to verify the effectiveness of AFSA, in which spheroidal particles of a unimodal distribution that conforms to Johnson’s
The measurement system of the small-angle forward scattering based on Mie scattering theory is constructed and experiments are performed to verify the practicability of AFSA. A CCD sensor is adopted to receive the scattered light instead of the conventional photodetector. Pinhole is first proposed to replace standard particles and calibrate the measurement system, which can eliminate the influence of particle concentration. After the calibration experiments, the PSD of standardized polystyrene microspheres are measured and modified. Both the simulation and experiment results indicate that the PSD can be successfully inverted by AFSA with high reliability and stability in certain conditions, and the system calibration can further improve the inversion accuracy.
Zusammenfassung
In der Kleinwinkelvorwärtsstreutechnik wird eine Inversionsmethode der Partikelgrößenverteilung (PSD) unter Verwendung des künstlichen Fischschwarmalgorithmus (AFSA) vorgeschlagen, die optimale charakteristische Parameter des PSD erfassen kann. Es werden Simulationen durchgeführt, um die Wirksamkeit von AFSA zu überprüfen, bei denen sphäroidische Partikel mit einer unimodalen Verteilung, die der
Das Messsystem der Kleinwinkelvorwärtsstreuung basierend auf der Mie-Streutheorie wird aufgebaut, und es werden Experimente durchgeführt, um die Praktikabilität von AFSA zu überprüfen. Ein CCD-Sensor wird verwendet, um das gestreute Licht anstelle des herkömmlichen Photodetektors zu empfangen. Pinhole wird zunächst vorgeschlagen, um Standardpartikel zu ersetzen und das Messsystem zu kalibrieren, was den Einfluss der Partikelkonzentration eliminieren kann. Nach den Kalibrierversuchen werden die PSD von standardisierten Polystyrol-Mikrokugeln gemessen und modifiziert. Sowohl die Simulations- als auch die Versuchsergebnisse deuten darauf hin, dass die PSD von AFSA mit hoher Zuverlässigkeit und Stabilität unter bestimmten Bedingungen erfolgreich invertiert werden kann, und die Systemkalibrierung kann die Umkehrgenauigkeit weiter verbessern.
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51874264
Award Identifier / Grant number: 51476154
Award Identifier / Grant number: 51404223
Funding statement: This work was supported by the National Natural Science Foundation of China [51874264, 51476154, 51404223].
About the authors
Liang Shan received her M.Sc. degree from Southeast University in 2004. Now she is an Associate Professor in China Jiliang University. Her main research interests include photoelectric detection and signal processing.
Liang Xu received his B.Sc. degree from Henan Agricultural University in 2015. He is currently pursuing the M.Sc. degree with the College of Information Engineering from China Jiliang University. He main research interest is photoelectric detection.
Lixia Cao received her M.Sc. degree from China Jiliang University in 2015. She is currently pursuing the Ph.D. degree with the School of Energy and Environment from Southeast University. Her main research interests are broadly in multiphase flow instrumentation.
Bo Hong received her B.Sc. degree from Shan Dong University in 2001, and received her M.Sc. degree from Zhe Jiang University in 2004. She is currently pursuing the Ph.D. degree with School of Information from Ningbo University. Her main research interests include optics-electrical precision detection technology and low power design.
Daodang Wang received his Ph.D. degree from Zhejiang University in 2012. Now he is an Associate Professor in China Jiliang University. His research interest mainly focuses on the optical testing.
Tiantai Guo received his Ph.D. degree from Zhejiang University in 2015. Now he is an Associate Professor in China Jiliang University. His research interest mainly focuses on geometrical precision measurement.
Ming Kong received his Ph.D. degree from Southeast University in 2005. Now he is a Full Professor in China Jiliang University. His main research interests include photoelectric detection and multiphase flow detection.
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