NDLI: Prediction and quality control of the melt index during production of high-density polyethylene

Content Provider	Springer Nature Link
Author	Lee, Eun Ho Kim, Tae Young Yeo, Yeong Koo
Copyright Year	2008
Abstract	In polyolefin processes the melt index (MI) is the most important control variable indicating product quality. Because of the difficulty in the on-line measurement of MI, a lot of MI estimation and correlation methods have been proposed. In this work a new dynamic MI estimation scheme is developed based on system identification techniques. The empirical MI estimation equation proposed in the present study is derived from the 1$^{ st }$-order dynamic models. Effectiveness of the present estimation scheme was illustrated by numerical simulations based on plant operation data including grade change operations in high density polyethylene (HDPE) processes. From the comparisons with other estimation methods it was found that the proposed estimation scheme showed better performance in MI predictions. The virtual sensor model developed based on the estimation scheme was combined with the virtual on-line analyzer (VOA) to give a quality control system to be implemented in the actual HDPE plant. From the application of the present control system, significant reduction of transition time and the amount of off-spec during grade changes was achieved
Starting Page	613
Ending Page	622
Page Count	10
File Format	PDF
ISSN	02561115
Journal	Korean Journal of Chemical Engineering
Volume Number	25
Issue Number	4
e-ISSN	19757220
Language	English
Publisher	Springer US
Publisher Date	2008-09-16
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Polyethylene Melt Index Dynamic Model Grade Change Quality Control Biotechnology Materials Science Catalysis Industrial Chemistry/Chemical Engineering
Content Type	Text
Resource Type	Article
Subject	Chemistry Chemical Engineering

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