Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1570-7946(06)80139-2
Title: Real-time imaging and product quality characterization for control of particulate processes
Authors: Zhou, Y.
Doan, X.-T.
Srinivasan, R. 
Keywords: Image analysis technology
In-Process video measurement (PVM)
Particle shape and size
Statistical multivariate image analysis
Issue Date: 2006
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
URI: http://scholarbank.nus.edu.sg/handle/10635/64487
ISSN: 15707946
DOI: 10.1016/S1570-7946(06)80139-2
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