Real-time Imaging and Product Quality Characterization for Control of Particulate Processes

被引：0

作者：

Zhou, Ying ^{[1
]}

Doan, Xuan-Tien ^{[1
]}

Srinivasan, Rajagopalan ^{[1
]}

机构：

[1] Inst Chem & Engn Sci, Singapore 627833, Singapore

来源：

16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷

关键词：

Particle shape and size; In-Process video measurement (PVM); Image analysis technology; Statistical multivariate image analysis;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

下载

页码：775 / 780

页数：6

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