Time optimal production of a specified particle size distribution in emulsion polymerization

Rajabi-Hamane, Mehdi; Engell, Sebastian

doi:10.1016/j.ces.2007.04.031

Cited by 15 publications

(10 citation statements)

References 20 publications

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“…Hosseini et al [210] Sty 0-1 N Y Hosseini et al [23] Sty PB N Y Immanuel et al [211] VAc/BA PB N Y Immanuel et al [212] VAc/BA PB Y Y Jung and Gomes [26] Sty, BA 0-1/PB Y Y Kammona et al [213] Sty/2-EHA PB Y Y Kiparissides et al [214] VCM PB Y Y Marinangelo et al [215] Sty/BA PB N Y Meadows et al [216] Sty 0-1 N N Melis et al [217] VCM PB Y N Park et al [218] VAc/BA PB Y N Pohn et al [219] Sty 0-1 Y N Rajabi-Hamane and Engell [220] Sty PB N N Sajjadi [221] Sty 0-1-2-3 N Y Saldívar et al [4,[222][223][224] various binaries PB N Y Sood [225] Sty PB N N Sood [226] Sty PB N Y Sweetman et al [227] VAc/BA PB Y N Unzueta and Forcada [174] MMA/BA PB Y Y Vale and McKenna [38] VCM 0-1-2 Y Y Wulkow and Richards [228] -0-1-2 N Y Zeaiter et al [158,229] Sty…”

Section: Reference System Kinetics Coagulation Exp Validationmentioning

confidence: 99%

Is Modeling the PSD in Emulsion Polymerization a Finished Problem? An Overview

Sheibat‐Othman

Vale

Pohn

et al. 2017

Macro Reaction Engineering

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Significant progress has been made over the past 20–30 years in terms of the ability to develop and solve mechanistic models of emulsion polymerization processes, and in particular models for prediction of the particle size distribution. However, this does not imply that modeling of these economically important processes is by any means a “solved problem,” or that it is no longer necessary to perform fundamental research in this area. There are a number of areas where strong scientific work would increase the understanding of the process, including events in the aqueous phase, radical entry into growing particles, monomer partitioning, and especially the mechanisms and modeling of particle coagulation.

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Section: Reference System Kinetics Coagulation Exp Validationmentioning

confidence: 99%

Is Modeling the PSD in Emulsion Polymerization a Finished Problem? An Overview

Sheibat‐Othman

Vale

Pohn

et al. 2017

Macro Reaction Engineering

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“…In the RBF-PLS model, N c , σ r , and N l are the degrees of freedom. To obtain the best combination of these parameters, firstly, N c and σ r were varied in the ranges of [3][4][5][6][7][8][9][10] and [0. [1][2].…”

Section: Hybrid Modelmentioning

confidence: 99%

“…In general, for batch and semi-batch processes, different control approaches such as online, batch-to-batch and combinations of them (depending on the availability of the off/online measurements and the level of sophistication needed and/or desired) can be used. Feed forward control ( [2], [3]) is the simplest scheme where the optimal input trajectories are computed by performing an offline optimization or they are repeated from a golden batch. The corresponding optimizations are usually performed using mechanistic models.…”

Section: Introductionmentioning

confidence: 99%

Mid-course control of particle size distribution in emulsion polymerization using a hybrid model

Hosseini

Oshaghi

Engell

2013

2013 IEEE International Conference on Control Applications (CCA)

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This work proposes a practical approach to control the particle size distribution in seeded semi-batch emulsion polymerization. In this approach, initially an offline optimization is performed and the resulting monomer feed trajectory is implemented at the plant up to the predefined mid-course point of the batch. Frequent measurements are used to estimate the lumped states of the system using a state estimator. The estimated states and the measured PSD at the mid-course of the process are used as the initial condition for a re-optimization which is performed to obtain the trajectory of the monomer feed from the mid-course up to the end of the batch. In this re-optimization, a hybrid model which comprises the FokkerPlanck equation model of emulsion polymerization and a databased component that corrects the predictions of the FokkerPlanck model during the re-optimization is used.

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“…In general, for batch and semi-batch processes, different control approaches such as online, batch-to-batch and combinations of them (depending on the availability of the off/online measurements and the level of sophistication needed and/or desired) can be used. Feedforward control (Immanuel and Doyle III (2002); Rajabi-Hamane and Engell (2007)) is the simplest scheme where the optimal input trajectories are computed by performing an offline optimization or they are repeated from a golden batch. The corresponding optimizations are usually performed using mechanistic models.…”

Section: Introductionmentioning

confidence: 99%