A computational model for predicting particle size distribution and performance of fluidized bed polypropylene reactor

Harshe, Yogesh M.; Utikar, Ranjeet P.; Ranade, Vivek V.

doi:10.1016/j.ces.2004.09.005

Cited by 56 publications

(54 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bubbling fluidized beds have extensively been studied over the past 50 years and a variety of models have been proposed to describe their steady-state and dynamic behavior [1][2][3][4][5][6]. The literature shows that the main objective of gas-phase olefin polymerization reaction engineering is to understand how the reaction mechanism, the physical transport processes, reactor configuration and reactor operating conditions affect the properties of the polymer product.…”

Section: Introductionmentioning

confidence: 99%

Kinetic modeling of propylene homopolymerization in a gas-phase fluidized-bed reactor

Shamiri

Hussain

Mjalli

et al. 2010

Chemical Engineering Journal

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Kinetic modeling of propylene homopolymerization in a gas-phase fluidized-bed reactor

Shamiri

Hussain

Mjalli

et al. 2010

Chemical Engineering Journal

View full text Add to dashboard Cite

“…Key time and length scales in the evaporation of liquid droplets in the presence of solids were evaluated in the development of the model. The developed model was incorporated in the PoRE simulator that we 7 described. This was then used to compare the performance of a PP FBR for normal and condensed modes of operation.…”

Section: Discussionmentioning

confidence: 99%

“…The solution methodology and numerical issues associated with the solving coupled reactor model and population balance model were discussed in our earlier article. 7 …”

Section: Steady-state Particle Population Balancementioning

confidence: 97%

“…All other equations are given in the Appendix. See our earlier article 7 for a detailed explanation of these equations.…”

Section: Dynamic Reactor Modelmentioning

confidence: 98%

“…For the prediction of product properties and reactor performance, steady state 3,4 and dynamic 5,6 models have been proposed. Recently, we 7 presented a model that simultaneously predicts both polymer properties and PSD. The generalized framework of a dynamic model based on the mixing cell approach and detailed polymerization kinetics coupled with a population balance model for PSD was developed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling of a fluidized bed propylene polymerization reactor operated in condensed mode

Utikar

Harshe

Mehra

et al. 2008

J of Applied Polymer Sci

Self Cite

View full text Add to dashboard Cite

The gas-phase polymerization of propylene is one of the most widely accepted and commercially used processes for the manufacture of polypropylene (PP). Because of the highly exothermic nature of polymerization reactions, temperature runaway and subsequent polymer melting and agglomeration may occur, and the reactor has to be operated in a small operating window for safety. The addition of liquid monomer for heat removal (condensed mode) broadens the operating window and can substantially increase (by 50-100%) the capacity of given reactor hardware. This article describes the extension of a comprehensive mathematical model for the simulation of fluidized bed PP reactors to include the condensed mode of operations. The model is used to determine the influence of the operating parameters on the polymer properties and particle size distribution. The model is also used to determine the effects of two active sites and the reaction kinetics on macroscopic variables. The developed framework is useful for simulating multimonomer, multisite Ziegler-Natta-type olefin fluidized bed polymerization reactors operated under condensed mode.

show abstract

Three‐dimensional CFD‐PBM coupled model of the temperature fields in fluidized‐bed polymerization reactors

Chen¹,

Luo²,

Yan³

et al. 2011

AIChE Journal

View full text Add to dashboard Cite

A three-dimensional (3-D) computational fluid dynamics model, coupled with population balance (CFD-PBM), was developed to describe the gas-solid two-phase flow in fluidized-bed polymerization reactors. The model considered the Eulerian-Eulerian two-fluid model, the kinetic theory of granular flow, the population balance, and heat exchange equations. First, the model was validated by comparing simulation results with the classical calculated data. The entire temperature fields in the reactor were also obtained numerically. Furthermore, two case studies, involving constant solid particle size and constant polymerization heat or evolving particle-size distribution, polymerization kinetics, and polymerization heat, were designed to identify the model. The results showed that the calculated results in the second case were in good agreement with the reality. Finally, the model of the second case was used to investigate the influences of operational conditions on the temperature field.

show abstract

A computational model for predicting particle size distribution and performance of fluidized bed polypropylene reactor

Cited by 56 publications

References 16 publications

Kinetic modeling of propylene homopolymerization in a gas-phase fluidized-bed reactor

Kinetic modeling of propylene homopolymerization in a gas-phase fluidized-bed reactor

Modeling of a fluidized bed propylene polymerization reactor operated in condensed mode

Three‐dimensional CFD‐PBM coupled model of the temperature fields in fluidized‐bed polymerization reactors

Contact Info

Product

Resources

About