A 3-D Reconstruction Method of Dense Bubbly Plume based on Laser Scanning
Bubbly flow widely exists in many industrial applica-tions of energy, metallurgy, and chemistry, etc. Due to the clusters and overlap of dense bubbles at a high void fraction, it is nearly impossible to obtain the information of flow structures and char-acteristics in the spatial field with traditional measurement meth-ods. In this paper, a novel laser scanning based three-dimensional (3-D) reconstruction method for dense bubbly plume is developed. The measurement area is scanned by a laser sheet through a rotat-ing hexagonal optical prism, and a high-speed camera captures the sequentially-sliced images in the flow field, which is parallel to the scanning direction. Meanwhile, a scanning mathematic model is established, and its linearization is analyzed in detail. An image pre-processing method is developed to extract the features of the bubbly plume. To be specific, a method involves adaptive wavelet threshold denoising is developed to remove the noise. Also, methods regarding sliced image-matching and interpolation based on Log-polar transformation are presented to improve the spatial resolution effectively, and a set of image evaluation standards are designed to investigate the interpolation efficiency and accuracy. The experimental results conclude that the reported 3-D recon-struction method for dense bubbly flow based on laser scanning is valid with high precision, which explores a new way for the visual-ization of the 3-D structures and measurement of the volumetric flow field and the complex flow characteristics.
T. Xue et al., "A 3-D Reconstruction Method of Dense Bubbly Plume based on Laser Scanning," IEEE Transactions on Instrumentation and Measurement, Institute of Electrical and Electronics Engineers (IEEE), Nov 2019.
The definitive version is available at https://doi.org/10.1109/TIM.2019.2922753
Electrical and Computer Engineering
Intelligent Systems Center
Keywords and Phrases
Bubbly Plume; Laser Scanning; 3-D Reconstruction; Wavelet Denoising; Slices Interpolation
International Standard Serial Number (ISSN)
Article - Journal
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Nov 2019