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- In relation to this article, we declare that there is no conflict of interest.
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Received January 26, 2010
Accepted March 8, 2010
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
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Development of polyethylene melt index inferential model
Department of Chemical Engineering, Hanyang University, Seoul 133-791, Korea
Korean Journal of Chemical Engineering, November 2010, 27(6), 1669-1674(6), 10.1007/s11814-010-0290-8
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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 large number of MI estimation and correlation methods have been proposed. In this work, we propose a new MI predicting model in which the reaction heat term in existing prediction models is replaced by temperature. The proposed model is compared with other prediction models as well as operating data to evaluate MI predicting performance. The present model shows least predicting errors compared to existing models.
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McAuley KB, MacGregor JF, AIChE J., 38, 1564 (1992)
Ohshima M, Tanigaki M, J. Process Control, 10(2-3), 135 (2000)
Oh SJ, Lee J, Park S, Ind. Eng. Chem. Res., 44(1), 8 (2005)
Ogawa M, Ohshima M, Morinaga K, Watanabe F, J. Process Control, 9(1), 51 (1999)
Floyd S, Choi KY, Tayior TW, Ray WH, J. Appl. Polym. Sci., 32, 2935 (1986)
Rudin A, “Molecular Weight Distributions,” Comprehensive Polymer Science, Chap. 18, Vol. III, G. Allen and J. C. Bevington, Eds., Pergamon Press (1989)
Usami T, Gotoh Y, Takayama S, Macromolecules, 19, 2722 (1986)
Zacca JJ, Ray WH, Chem. Eng. Sci., 48, 3743 (1993)
Xuelan Jin, Development of PP Melt Index Inferential Model, Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23, 2006, Dalian, China.
