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|Title:||Real-time imaging and product quality characterization for control of particulate processes|
|Keywords:||Image analysis technology|
In-Process video measurement (PVM)
Particle shape and size
Statistical multivariate image analysis
|Source:||Zhou, Y.,Doan, X.-T.,Srinivasan, R. (2006). Real-time imaging and product quality characterization for control of particulate processes. Computer Aided Chemical Engineering 21 (C) : 775-780. ScholarBank@NUS Repository. https://doi.org/10.1016/S1570-7946(06)80139-2|
|Abstract:||It is important to real-time in-situ measure the product quality, such as the shape and size in the particulate process for the purpose of process monitor and control. A methodology combing image processing techniques and statistical multivariate image analysis is developed in this paper to measure particle shape and size distributions from in-process video sensors and digitize them for closed-loop control. Monosodium glutamate (MSG) and sodium chloride (salt) crystallization processes are selected as case study and both the methods can correctly classify the two kinds of particles. © 2006 Elsevier B.V. All rights reserved.|
|Source Title:||Computer Aided Chemical Engineering|
|Appears in Collections:||Staff Publications|
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