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23 European Symposium on Computer Aided Process Engineering

Novel two-steps optimal control of batch polymerization reactors and application to PMMA production for the fabrication of artificial bone tissue

By: Nádson M.N. Lima,Lamia Zuniga Linan,Flavio Manenti,Rubens Maciel Filho,Marcelo Embiruçu,Maria R. Wolf Maciel

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23 European Symposium on Computer Aided Process Engineering

Novel two-steps optimal control of batch polymerization reactors and application to PMMA production for the fabrication of artificial bone tissue

By: Nádson M.N. Lima,Lamia Zuniga Linan,Flavio Manenti,Rubens Maciel Filho,Marcelo Embiruçu,Maria R. Wolf Maciel

It is known that the applications of a material are totally dependent on their characteristics. In the particular case of the manufacture of bone tissues from polymer sources, high molecular weights are necessary to ensure optimum mechanical and optical properties. However, exothermic reactions and strong nonlinearities, which are peculiarities of such reaction systems, require rigorous control in order to achieve to the desired objectives. In this paper, an optimal control policy applied to a batch methyl methacrylate polymerization reactor is presented. The proposed methodology determines the optimal time profile of reactor temperature; if the temperature is maintained along the calculated profiles, a polymer product with desired molecular weight distribution could be obtained at the pre-specified final monomer conversion rate. The good agreement with experimental results reveals that the described control procedure is suitable to ensure that the polymer product satisfies the specifications.

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Page Count

15

Publisher

Elsevier Inc. Chapters

Published Date

ISBN 10

0128085266

ISBN 13

9780128085264

23 European Symposium on Computer Aided Process Engineering

A hybrid GA-SQP multi-objective optimization methodology for carbon monoxide pollution minimization in Fluid Catalytic Cracking Process

By: José F. Cuadros,Delba N.C. Melo,Nàdson M. Nascimento,Rubens Maciel Filho,Maria R. Wolf Maciel

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23 European Symposium on Computer Aided Process Engineering

A hybrid GA-SQP multi-objective optimization methodology for carbon monoxide pollution minimization in Fluid Catalytic Cracking Process

By: José F. Cuadros,Delba N.C. Melo,Nàdson M. Nascimento,Rubens Maciel Filho,Maria R. Wolf Maciel

In this work a multi-objective hybrid optimization strategy was developed considering genetic algorithms (GA) in series with sequential quadratic programming (SQP). This methodology is used to minimize carbon monoxide emissions of regenerator dense phase at the same time that maximize process conversion in Fluid Catalytic Cracking (FCC). The process is characterized for being a highly nonlinear with strong interactions between process variables. The combination of those optimization algorithms was developed considering final values of GA optimization as initial estimative of SQP algorithm. The reason for that is because initial estimative determined by a stochastic technique is not subject to local minimums and additionally, deterministic technique speed up the calculations and reach the final solution in shorter times in order to obtain optimization objectives with low computational burden and time.

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Page Count

17

Publisher

Elsevier Inc. Chapters

Published Date

ISBN 10

0128086262

ISBN 13

9780128086261