Prediction and quality control of the melt index during production of high-density polyethylene |
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Authors: | Eun Ho Lee Tae Young Kim Yeong Koo Yeo |
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Affiliation: | (1) Department of Chemical Engineering, Hanyang University, Seoul, 133-791, Korea |
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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 |
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Keywords: | Polyethylene Melt Index Dynamic Model Grade Change Quality Control |
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