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Deep learning-based on-line image analysis for continuous industrial crystallization processes

Particuology 2023年第3期74卷 173-183页

作者： Shiliang Zong Guangzheng Zhou Meng Li Xuezhong Wang Beijing City Key Laboratory of Enze Biomass and Fine Chemicals College of New Materials and Chemical EngineeringBeijing Institute of Petrochemical TechnologyBeijing102617China

In situ microscopic imaging is a useful tool in monitoring crystallization processes,including crystal nucleation,growth,aggregation and breakage,as well as possible polymorphic transition.To convert the qualitative information to be quantitative for the purpose of process optimization and control,accurate analysis of crystal images is essential.However,the accuracy of image segmentation with traditional methods is largely affected by many factors,including solid concentration and image quality.In this study,the deep learning technique using mask region-based convolutional neural network(Mask R-CNN)is investigated for the analysis of on-line images from an industrial crystallizer of 10 m^(3) operated in continuous mode with high solid concentration and overlapped particles.With detailed label points for each crystal and transfer learning technique,two models trained with 70,908 and 7,709 crystals respectively are compared for the effect of training data amount.The former model effectively segments the aggregated and overlapped crystals even at high solid concentrations.Moreover,it performs much better than the latter one and traditional multi-scale method both in terms of precision and recall,revealing the importance of large number of crystals in deep learning.Some geometrical characteristics of segmented crystals are also analyzed,involving equivalent diameter,circularity,and aspect ratio.

关键词： Continuous crystallization crystal shape Image analysis Deep learning Instance segmentation Process analytical technology

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Observation and Analysis of Gypsum Particleboard using SEM

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Journal of Wuhan University of Technology(Materials Science) 2007年第1期22卷 44-47页

作者：冯谦 KIM Hyunjoong KIM Sumin School of Mechanical and Electronic Engineereing Nanjing Forestry University Seoul National University Seoul Korea

The microstructures of gypsum board and gypsum particleboard were observed by SEM. The effects of retarder and waterproof agent on the shape and the average dimension of the gypsum crystal were discussed. The mechanism was investigated as well. Four typical instances, i e, the gypsum crystal shape, the gypsum combined with particles on the particles surface, the gypsum combined with particles on the wood cross section and the gypsum combined with particles inside the wood cell cavity were selected and observed. Furthermore, the agglomeration and cementation mechanism between gypsum and particle were studied.

关键词： crystal shape gypsum particleboard additive

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