Development of PP Melt Index Inferential Model

Author

Jin, Xuelan ; Hu, Pinhui ; Yuan, Pu ; Dong, Shouping

Author_Institution

Res. Inst. of Autom., China Univ. of Pet., Beijing

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4866

Lastpage

4870

Abstract

The melt index (MI) is an important quality specification in polypropylene (PP) production industries. Accurate online measurement of MI becomes vital in PP quality control. A new MI inferential model is proposed by using macro heat of reaction (MHR) as a key factor in MI correlation. MHR is calculated from a dynamic propylene polymerization model. The proposed MI model is validated by plant data and the prediction error is less than 5%. Simulations are performed by three different MI inferential models. The results show that the proposed model has least errors in various operation conditions. The MI model could be used as online soft sensor model or MI control

Keywords

chemical reactors; heat of reaction; melting; polymerisation; quality control; dynamic propylene polymerization model; macroheat of reaction; melt index inferential model; polypropylene production; quality control; soft sensor model; Automation; Desktop publishing; Digital signal processing; Intelligent control; Petroleum industry; Polymers; Predictive models; Production; Quality control; inferential model; melt index; polypropylene; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713309

Filename

1713309