Real-time imaging and product quality characterization for control of particulate processes

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
Citation:	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
Appears in Collections:	Staff Publications

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