Steady-state modeling of slurry and bulk propylene polymerizations

Neto, Antônio G. Mattos; Pinto, José Carlos

doi:10.1016/s0009-2509(01)00076-8

Cited by 61 publications

(42 citation statements)

References 45 publications

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“…1. Under these conditions, it is possible and reasonable to assume the tubular loop reactor as a continuous stirred-tank reactor (CSTR) with constant volume [2,15,20,21], but slurry density. The reacting slurry is supposed to be a mixture of liquid phase (monomer and hydrogen) and a solid phase (polymer and catalyst).…”

Section: Process For Propylene Polymerization In Tubular Loop Reactorsmentioning

confidence: 99%

“…Yiannoulakis et al [5] employed a polymeric flow model to describe the growth rate of a single particle under internal and external heat and mass transfer limitations in a FBR and this single particle model was solved together with a steady-state population balance model to predict polymer PSD. Mattos et al [15] developed and implemented a mathematical model for steady-state slurry and bulk propylene polymerization process. The model was capable of predicting the polymer molecular structure and morphology, including PSD.…”

Section: Introductionmentioning

confidence: 99%

“…Simultaneously, the particles may either grow in size due to the polymerization reaction or rupture into small ones caused by mechanical or rheological attrition. Therefore, the polymer particle is influenced by the original size of the catalyst particle, the polymerization rate, the attrition rate, and the residence time [15]. Moreover, due to the original catalyst PSD and residence time distribution (RTD) inside the reactors, the final product PSD can be very broad.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Steady-state particle size distribution modeling of polypropylene produced in tubular loop reactors

Luo

You

et al. 2009

Chemical Engineering Journal

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Section: Process For Propylene Polymerization In Tubular Loop Reactorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Steady-state particle size distribution modeling of polypropylene produced in tubular loop reactors

Luo

You

et al. 2009

Chemical Engineering Journal

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“…The process is described in detail by Mattos Neto and Pinto (2001) [19] and is represented in Figure 1.…”

Section: Process Descriptionmentioning

confidence: 99%

In‐Line Monitoring of Bulk Polypropylene Reactors Based on Data Reconciliation Procedures

Prata

Lima

Pinto

2008

Macromolecular Symposia

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Summary:The main objective of this work is the implementation of a nonlinear dynamic data reconciliation (NDDR) procedure for the in-line monitoring of the bulk propylene polymerization, as performed in a real industrial site. Special attention is given to monitoring of the melt flow index (MI) of the polymer product obtained in an industrial extruder at different operating conditions. In order to do that, a model is developed to describe the polymerization process and the controlled degradation of polypropylene in a reactive extruder. The model is implemented in real time, allowing for in-line and real-time monitoring of the plant operation.

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“…[4] Depending on the desired final PP properties, catalysts with different properties can be used. [5,6] A fundamental problem of polymerization technologies is the determination of the proper operation policies required to achieve and control the desired quality and production rates of the final polymer material.…”

Section: Introductionmentioning

confidence: 99%

Control of Bulk Propylene Polymerizations Operated with Multiple Catalysts through Controller Reconfiguration

Dutra

Feital

Skogestad

et al. 2013

Macromol. React. Eng.

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This paper presents a model to describe the dynamic behavior of bulk propylene polymerizations performed in a continuous reactor, assuming that three catalysts can be used. The model takes into account mass, energy, and statistical moment balances used to estimate the final polymer properties, including the melt index (MI) and extractables in xylene (XS). As the catalysts present different sensitivities to hydrogen, the proposed controller scheme considers that the MI control loop must be reconfigured in line and in real time when the catalysts are exchanged. Simulation results indicate that the reactor stability is maintained during specified production programs and that the desired final properties can be achieved satisfactorily. It is shown that control reconfiguration represents an alternative to overcome existing operation limits and recover operability when multiple catalysts are used at plant site.

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Steady-state modeling of slurry and bulk propylene polymerizations

Cited by 61 publications

References 45 publications

Steady-state particle size distribution modeling of polypropylene produced in tubular loop reactors

Steady-state particle size distribution modeling of polypropylene produced in tubular loop reactors

In‐Line Monitoring of Bulk Polypropylene Reactors Based on Data Reconciliation Procedures

Control of Bulk Propylene Polymerizations Operated with Multiple Catalysts through Controller Reconfiguration

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