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Proceedings Paper

Analysis of laser intensity attenuation and compensation and the influence on imaging through particle field
Author(s): Xiangju Qu; Yang Song; Liang Xu; Ying Jin; Zhenhua Li; Anzhi He
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Paper Abstract

In 3D particle image velocimetry (PIV), when laser transports through dense trace particle field, scattering light intensity vary in different directions. In this article, we build 5 fields of different densities, and each field contains one vortex ring. The diameter of the vortex ring is 2mm, and the particles are dense in the ring and sparse outside the ring. Based on the Mie scattering theory and Monte Carlo method, we compute the laser intensity difference along the direction of incident light in each particle volume when the laser beam transports through it, and obtain the relationship of laser intensity, particle density and the distance of laser transportation. The variation of laser intensity could also be viewed from different directions. We also discussed the influence of light intensity variation on integrated imaging particle-imagevelocimetry (PIV) image’s quality in this paper. To deal with this variation, we propose a new light intensity equalized compensation method. By using this method, we can reduce the influence of attenuation when laser light transports through dense particle areas. During the simulation process, a camera array is set to detect the forward and back direction of the laser beam in the region, and the light intensity is recorded by different pixels. Light intensity attenuation of different positions is considered. All cameras are treated as pinhole models. The results show that front scattering and back scattering have great effects on integrated imaging PIV. The compensation method is used in experiment to preprocess particle images.

Paper Details

Date Published: 24 October 2017
PDF: 10 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104622N (24 October 2017); doi: 10.1117/12.2284901
Show Author Affiliations
Xiangju Qu, Nanjing Univ. of Science and Technology (China)
Yang Song, Nanjing Univ. of Science and Technology (China)
Liang Xu, Nanjing Univ. of Science and Technology (China)
Ying Jin, Nanjing Univ. of Science and Technology (China)
Zhenhua Li, Nanjing Univ. of Science and Technology (China)
Anzhi He, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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