Dynamic simulation of liquid polymerization reactors in Sheripol process for polypropylene

Kim, Shin Hyuk; Baek, Seung Won; Lee, Jae Cheol; Lee, Woojin; Hong, Seong Uk; Oh, Min

doi:10.1016/j.jiec.2015.10.017

Cited by 12 publications

(9 citation statements)

References 10 publications

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“…In [ 14 ], the liquid-phase polymerization of propylene was studied in a loop reactor on TiCl 4 /MgCl 2 + PEEB + AlR 3 catalyst, (PEEB—paraethoxyethyl benzoate), at a temperature of 70 °C using a mathematical model, all the kinetic coefficients of which had an activation energy E = 209.5 cal/mol (E/R ≈ 6017). The same activation energy was used for the temperature dependence of all the kinetic coefficients of the model that is used for the analysis of the polyolefin production process using the Spheripol technology in [ 7 ]. In [ 6 ], for the temperature dependence of the kinetic coefficients

, a single activation energy E = 217,46 cal/mol (E/R ≈ 6245) was used, as well as in the articles [ 8 , 9 ].…”

Section: Computing the Temperature Dependence Of Kinetic Parameters: ...mentioning

confidence: 99%

“…Two- and three-center kinetic models approximate the experimental values of Yp,e, Mn,e, and Mw,e properly, but they poorly approximate the experimental PP MWD. The deconvolution of the experimental PP MWD showed the presence of 4–5 types of active centers that produced the polymer chains of different lengths at different rates [ 7 ]. Polycentric kinetic models containing many kinetic parameters can describe experimental data (Yp,e, Mn,e, Mw,e, and Kwn,e) even with the values of the kinetic parameters, which have no physical meaning.…”

Section: Introductionmentioning

confidence: 99%

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Temperature Dependence of the Kinetic Parameters of the Titanium–Magnesium Catalyzed Propylene Polymerization

et al. 2022

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This paper provides a study of the liquid-phase polypropylene polymerization on a heterogeneous titanium–magnesium Ziegler–Natta-type catalyst. A kinetic model was developed that included the activation of potential active centers, chain growth, transferring the chains to hydrogen and monomer, and the deactivation of active centers. The model was created to predict the polymerization rate, polymer yield, and average molecular weights of polymer chains where the polymerization temperature changes from 40 to 90 °C. In developing polycentric kinetic models, there is a difficulty associated with evaluating the kinetic constants of the rates of elementary reactions/stages in polymerization. Each heterogeneous titanium–magnesium catalyst (TMC), including a co-catalyst, as well as an internal and an external electron donor, has its own set of kinetic parameters. Therefore, its kinetic parameters must be defined for each new catalyst. The presented algorithm for identifying the kinetic constants of rates starts with a kinetic model that considers one type of active centers. At the second stage, a deconvolutional analysis is used for the molecular weight distribution (MWD) of the gel permeation chromatography (GPC) data of the polypropylene samples and the most probable distribution of Flory chain lengths is found for each type of active centers. At the third stage, the single-center model is transformed into a polycentric kinetic model. For the catalyst system, five types of active centers were identified, together with a mass fraction and a number-average molecular weight for each active center type of the catalyst, which is consistent with the published results for similar Ti-based Ziegler–Natta catalysts.

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, a single activation energy E = 217,46 cal/mol (E/R ≈ 6245) was used, as well as in the articles [ 8 , 9 ].…”

Section: Computing the Temperature Dependence Of Kinetic Parameters: ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temperature Dependence of the Kinetic Parameters of the Titanium–Magnesium Catalyzed Propylene Polymerization

et al. 2022

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“…Their modelling approach was moment equations. 10 Like in their in previous work, in 2016 Kim et al 11 proposed a simulation for liquid polypropylene polymerization reactors based on Sheripol technology without giving attention to the determination of the vital final product properties, such as average molecular weight and polydispersity.…”

Section: Introductionmentioning

confidence: 99%

Determination of optimal reaction temperature and hydrogen amount for propylene polymerization by a mathematical model

et al. 2019

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Regarding the complexity of Ziegler-Natta catalyst kinetics in polypropylene polymerization, so far, there is no adequate model to determine the best process conditions for predicting average molecular weight and dispersity as the most crucial final product properties index. Consequently, a validated model has been developed which describes the relationship between the kinetic model and the existing gap using the polymer moment balance approach. It was concluded that increasing reaction temperature and hydrogen amount are useful and improve the final product indices to a certain limit, but afterwards they have harmful effects on the indices.

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“…Thereafter, another researcher has been attempted to model a multi-scale polypropylene reactor in the fluidized bed reactor (FBR) using moment equations [12]. In 2016, Kim et al have also simulated Sheripol technology in bulk polymerization without paying attention to some final product properties such as average molecular weight and polydispersity as well [13].…”

Section: Introductionmentioning

confidence: 99%

A mathematical model for determining the best process conditions for average Molecular weight and melt flow index of polypropylene

Varshouee¹,

Heydarinasab²,

Vaziri³

et al. 2019

Bull. Chem. Soc. Eth.

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The present work describes a mathematical model based on a population balance approach for determining the effect of the reaction temperature and hydrogen amount on the vital final product properties including average molecular weight and polydispersity index and flow index of polypropylene and also the profile rate of the polymerization. The aim of this study was to find the best operating condition through a model which is validated by the experimental data. The software program was coded in MATLAB/SIMULINK. The model profile rates compared with the experimental results to show the accuracy of the model. In this study, it was concluded that increasing the reaction temperature until a certain limit is useful and improve some indices of the final product and after that rising the reaction temperature has a harmful effect on the indices. Exactly the same issue is true in the case of increasing the amount of hydrogen.

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Dynamic simulation of liquid polymerization reactors in Sheripol process for polypropylene

Cited by 12 publications

References 10 publications

Temperature Dependence of the Kinetic Parameters of the Titanium–Magnesium Catalyzed Propylene Polymerization

Temperature Dependence of the Kinetic Parameters of the Titanium–Magnesium Catalyzed Propylene Polymerization

Determination of optimal reaction temperature and hydrogen amount for propylene polymerization by a mathematical model

A mathematical model for determining the best process conditions for average Molecular weight and melt flow index of polypropylene

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