Towards Tailored Molecular Weight Distributions Through Controlled Living Polymerisation Reactors: A Simple Predictive Algorithm

Meszena, Z. G.; Viczián, Zs.; Gosden, R. G.; Mohsin, Mahmoud A.; Johnson, A. F.

doi:10.1080/10543414.1999.10744500

Cited by 7 publications

(8 citation statements)

References 3 publications

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“…6 that the polydispersity of all the calculated distributions are bigger than that of the target (D n = 1.05). It has been shown previously that the minimal feasible polydispersity for a 4-stage CSTR is 1.25, see Equation (9). Distributions matching the polydispersity of the target GPC are feasible in cascades with 20 or more stages only.…”

Section: Mwd Design With a Cstr Cascadementioning

confidence: 99%

“…(10), in order to derive the MWD design formula, is exactly the same as detailed earlier [9] apart from set of different factors coming from the RTD:…”

Section: Mwd Prediction and Design With An Unsteady Cstr Cascadementioning

confidence: 99%

“…It is noted that chain length is treated in this work as a continuous variable [9]. Since Da >> 1 in practical processes the approximation ln(x) ≈ −1 + x can be applied to result…”

Section: Mwd Prediction For a Steady State Cstr Cascadementioning

confidence: 99%

“…The NCLD of the product from the cascade is derived by substituting Equation (8) into the general NCLD prediction formula of the method of monodisperse growth [9]:…”

Section: Mwd Prediction and Design With An Unsteady Cstr Cascadementioning

confidence: 99%

“…Based on the reversed calculation sequence, a design algorithm has been established in order to predict reactor parameters and feed profiles to meet a target MWD [2,9]. The concept of the design process is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

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MWD design in a series of CSTRs with living polymerisation reactions

Farkas¹,

Meszena²

2010

Per. Pol. Chem. Eng.

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In previous papers of this work methodologies have been established i) to predict the molecular weight distribution (MWD) of living polymerisation processes in various reactor configurations, ii) and -in a reversed calculation process -to design reactor parameters and feed profiles for a single CSTR or a tubular reactor to meet a target MWD.In this paper a model of a series of continuous stirred tank reactors (CSTRs) with various initiator and monomer feed strategies have been used to establish i) the possible MWD shapes with constant feed, ii) the MWD with the lowest possible polydispersity index, and iii) a methodology to design multimodal MWDs with a continuous steady state process.Both the MWD prediction and the design methodologies use a simplified, very fast, direct algorithm, well suited for control purposes.

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Section: Mwd Design With a Cstr Cascadementioning

confidence: 99%

“…(10), in order to derive the MWD design formula, is exactly the same as detailed earlier [9] apart from set of different factors coming from the RTD:…”

Section: Mwd Prediction and Design With An Unsteady Cstr Cascadementioning

confidence: 99%

“…It is noted that chain length is treated in this work as a continuous variable [9]. Since Da >> 1 in practical processes the approximation ln(x) ≈ −1 + x can be applied to result…”

Section: Mwd Prediction For a Steady State Cstr Cascadementioning

confidence: 99%

“…The NCLD of the product from the cascade is derived by substituting Equation (8) into the general NCLD prediction formula of the method of monodisperse growth [9]:…”

Section: Mwd Prediction and Design With An Unsteady Cstr Cascadementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MWD design in a series of CSTRs with living polymerisation reactions

Farkas¹,

Meszena²

2010

Per. Pol. Chem. Eng.

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Prediction of the Spatial Distribution of the Average Molecular Weights in Living Polymerisation Reactors using CFD Methods

Meszena

Johnson²

2001

Macromol. Theory Simul.

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Polymerisation reactor design and mode of operation are particularly important for polymerisation processes where the lifetime of the growing species is long compared to the mean residence time of reactants in the reactor. For these reasons, reactor control strategies can be devised for living polymerisation processes in order to tailor the nature of the polymer produced, for example, molecular weight distribution. The strategies can only be devised for ideal reaction and reactor behaviour. Since neither are ideal, it is necessary to understand those factors which cause deviation from ideality. In this work, the influence of the spatial distribution of temperature and flow velocity is examined for an ideal classical living polymerisation reaction carried out in a tubular reactor under steady‐state reactor conditions using a computational fluid dynamics (CFD) code (PHOENICS) to explore the influence of the spatial distribution of species and temperature on the product with all other reactor features being ideal. Particular attention is given to the problem of describing the spatial distribution of the dispersity index (moments of the molecular weight distribution) of the polymer in addition to flow velocity, temperature, component concentrations and kinematic viscosity. Comparisons are made between the CFD predictions, simulations based on the ideal behaviour of the process, and the experimental results from a laboratory‐scale reactor. It is shown that the CFD predictions give a more realistic description of the tubular reactor behaviour for the conditions employed. The limitations of the CFD approach and the additional problems still needing to be addressed, such as mixing quality, are discussed.

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Ionic Polymerization

Hungenberg¹

2005

Handbook of Polymer Reaction Engineering

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Towards Tailored Molecular Weight Distributions Through Controlled Living Polymerisation Reactors: A Simple Predictive Algorithm

Cited by 7 publications

References 3 publications

MWD design in a series of CSTRs with living polymerisation reactions

MWD design in a series of CSTRs with living polymerisation reactions

Prediction of the Spatial Distribution of the Average Molecular Weights in Living Polymerisation Reactors using CFD Methods

Ionic Polymerization

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