Measuring Particle Size Distributions in Multiphase Flows Using a Convolutional Neural Network
CHEMIE INGENIEUR TECHNIK(2019)
摘要
The efficiency of many chemical engineering applications depends on the surface/volume ratio of the dispersed phase. Knowledge of this particle size distribution is a key factor for better process control. The challenge of measurements acquired by optical imaging techniques is the segmentation of overlapping particles, especially in high phase fraction flows. In this work, a convolutional neural network is trained to segment droplets in images acquired by a shadowgraphic approach. The network is trained on artificial images and implemented into a droplet size algorithm. The results are compared to an OpenSource segmentation approach.
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关键词
Convolutional neural networks,Image analysis,Multiphase flows,Particle size distributions,Shadowgraphic imaging
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