Mathematical Modeling, Optimization, and Quality Control of High-Pressure Ethylene Polymerization Reactors

Kiparissides, Costas; Verros, George D.; MacGregor, John F.

doi:10.1080/15321799308021566

Cited by 104 publications

(121 citation statements)

References 65 publications

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“…Kiparissides (1993) stated the density of PE inversely proportions to the reaction conditions and the MI directly proportions to the exponents of the operating conditions. Therefore, the variation of MI is more significant than density.…”

Section: Introductionmentioning

confidence: 99%

On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades

Liu

2005

IFAC Proceedings Volumes

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Since the online measurement of melt index (MI) of polyethylene is difficult, a virtual sensor model is desirable. However, a polyethylene process usually produces products with multiple grades. The relations between process and quality variables are highly nonlinear. In addition, a virtual sensor model in the real plant process with many inputs has to deal with the collinearity and the time-varying issues. A new recursive algorithm, which models the multivariable, time-varying and nonlinear system, is presented. Principal component analysis (PCA) is used to eliminate the collinearity. Fuzzy c-means (FCM) and fuzzy Takagi-Sugeno (FTS) modeling are used to decompose the nonlinear system into several linear subsystems. The effectiveness of the proposed method is demonstrated using the real plant data from a polyethylene process. Copyright

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Section: Introductionmentioning

confidence: 99%

On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades

Liu

2005

IFAC Proceedings Volumes

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“…Gupta et al [32] , Ehrlich and Mortimer [14] , Goto et al [21] , Lee and Marano [30], Takahashl and Ehrlich [33] , Thies and Schoenemann, [37]. Kiparissides et al [49] in their review attributed the inconsistency of published set of rate constants to the complexity of the react ion, the large number of kinetic parameters to be determined experimentally and the wide range of experimental conditions over which the kinetic parameters were estimated. With such a wide range of values, it is often possible that conflict ing mechanistic suppositions can be supported with 'evidence' fro m the literature.…”

Section: Kinetic Parameters and Estimationmentioning

confidence: 99%

“…In both tubular and autoclave reactors , a free radical mechanism using init iators such as peroxides or oxygen takes place at pressures ranging from 1,000 to 3000 at m [49]. Free rad ical poly merizat ion of ethylene is carried out at high pressure and elevated Ethylene Polymerization: A Review temperature [57].…”

Section: Harsh Operating Conditionsmentioning

confidence: 99%

Emerging Issues in the Mechanisms of High Pressure Free Radical Ethylene Polymerization: A Review

J¹,

A²,

O³

et al. 2012

AJPS

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The need to imp rove the performance of the high pressure polymer production process, and timely introduction of new and functionalised products even at reduced production cost which is becoming critical to staying in business has given room for overall studies of the ethylene polymerizat ion process. In this review, emerging issues in the high pressure ethylene polymerization process through free radical approach is unveiled and presented. Different views and approaches of several authors on the tasking issues were compiled, analysed and discussed. Future researchable areas were made clear in this study. Further investigations were also made to model kinetically the high pressure ethylene polymerization react ion in tubular reactors only using mass balances and moment analysis. Although not discussed in this paper, the modeling of heterogeneous polymerization reactions such as precipitation poly merization and emulsion poly merizat ion remains a challenge.

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“…The manufacture of polypropylene is a billion-dollar business, which has seen about 5% annual growth rate in consumption in recent years (Shi et al, 2006). The quality of polypropylene is conventionally assessed by the melt index in practical industrial processes (Kiparissides et al, 1993). However, due to the challenged engineering activity and the complexity of the process, the melt index is usually obtained through an offline analytical procedure, which may take up to two hours.…”

Section: Introductionmentioning

confidence: 99%

“…Particularly, in the polypropylene production process, it was shown that the melt index can be predicted by some related process variables that significantly reflect the process condition and the product quality, such as hydrogen concentration of the reactor, propylene feed rate, reaction temperature, among others (Shi et al, 2006;Kiparissides et al, 1993;Coates et al, 2003;Zhang et al, 1998;Ohshima & Tanigaki, 2000;Liu, 2007).…”

Section: Introductionmentioning

confidence: 99%

Quality prediction for polypropylene production process based on CLGPR model

Chen

2011

Control Engineering Practice

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Mathematical Modeling, Optimization, and Quality Control of High-Pressure Ethylene Polymerization Reactors

Cited by 104 publications

References 65 publications

On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades

On-Line Soft Sensor for Polyethylene Process with Multiple Production Grades

Emerging Issues in the Mechanisms of High Pressure Free Radical Ethylene Polymerization: A Review

Quality prediction for polypropylene production process based on CLGPR model

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