2011
DOI: 10.1002/pen.22079
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Modeling uses and analysis of production scenarios for acrylonitrile‐butadiene (NBR) emulsions

Abstract: The first part of this article discusses different partitioning options used in modeling emulsion copolymerization of acrylonitrile and butadiene for the production of acrylonitrile‐butadiene rubber (NBR) in batch and continuous reactors. It is observed that the performance of the model using different partitioning methods for estimation of monomer concentration in the different phases (i.e., droplet, aqueous and particle) would be very similar by proper selection of the different parameters of the particular … Show more

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Cited by 10 publications
(24 citation statements)
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References 23 publications
(36 reference statements)
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“…The builtin function, trainlm.m, in MATLAB is based on this algorithm and is used in the simulations for the NBR system. The desired output, Y, is obtained from the mechanistic model, which gives good predictions when compared with the experimental data, as established in previous work [4,5]. The original mechanistic model is highly nonlinear with 32 multiscale state variables.…”
Section: Anns For Nbr Emulsion Copolymerization In a Batch Reactormentioning
confidence: 92%
See 3 more Smart Citations
“…The builtin function, trainlm.m, in MATLAB is based on this algorithm and is used in the simulations for the NBR system. The desired output, Y, is obtained from the mechanistic model, which gives good predictions when compared with the experimental data, as established in previous work [4,5]. The original mechanistic model is highly nonlinear with 32 multiscale state variables.…”
Section: Anns For Nbr Emulsion Copolymerization In a Batch Reactormentioning
confidence: 92%
“…This method of obtaining the estimates (for initial reaction ingredients) is easier and less time consuming compared to using the fully mechanistic model. Using the mechanistic model (which is very useful in its own right, as we have shown in previous publications, e.g., Madhuranthakam and Penlidis [4,5]), a trial and error approach has to be used for initial reaction ingredients. During the operation of the reactor train, for any slight discrepancies in the desired properties of the products, it is always possible to fine-tune the estimates obtained using the ANN-based inverse modeling.…”
Section: Number Of Hidden Layersmentioning
confidence: 99%
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“…Both dynamic and SS behaviors depend on how the reactor train is started up and the accompanying operating procedures and feed stream policies. A recent publication from our group [10] has concentrated on different start‐ups of the reactor train and their corresponding effect on the profiles of the different polymer properties. In this article, additional important operating policies and procedures that can be used in the case of a train of CSTRs for the production of NBR emulsions are addressed and discussed.…”
Section: Introductionmentioning
confidence: 99%