Optimal temperature-time programming in a batch copolymerization reactor
Identifieur interne :
000671 ( PascalFrancis/Corpus );
précédent :
000670;
suivant :
000672
Optimal temperature-time programming in a batch copolymerization reactor
Auteurs : D. Salhi ;
M. Daroux ;
C. Gentric ;
J. P. Corriou ;
F. Pla ;
M. A. LatifiSource :
-
Industrial & engineering chemistry research [ 0888-5885 ] ; 2004.
RBID : Pascal:05-0125858
Descripteurs français
English descriptors
Abstract
This paper addresses the optimization of a batch copolymerization reactor of styrene and α-methylstyrene. The reactor is equipped with a jacket for heat exchange and, thus, for temperature control. The performance index is the batch period, and the decision variable is the jacket inlet temperature. The constraints involved include the process model, the polymer quality, the final monomer conversion rate, the heating/cooling rate of the reactor and upper and lower bounds of the variables. The optimization method is a direct method with a sequential strategy known as control vector parametrization method. The optimal profiles are determined with great care in terms of treatment and fulfilment of constraints. The results show a substantial improvement with respect to the complete discretization method previously used.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A01 | 01 | 1 | | @0 0888-5885 |
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| A03 | | 1 | | @0 Ind. eng. chem. res. |
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| A05 | | | | @2 43 |
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| A06 | | | | @2 23 |
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| A08 | 01 | 1 | ENG | @1 Optimal temperature-time programming in a batch copolymerization reactor |
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| A09 | 01 | 1 | ENG | @1 Polymer reaction engineering: modeling, optimization and control |
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| A11 | 01 | 1 | | @1 SALHI (D.) |
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| A11 | 02 | 1 | | @1 DAROUX (M.) |
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| A11 | 03 | 1 | | @1 GENTRIC (C.) |
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| A11 | 04 | 1 | | @1 CORRIOU (J. P.) |
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| A11 | 05 | 1 | | @1 PLA (F.) |
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| A11 | 06 | 1 | | @1 LATIFI (M. A.) |
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| A12 | 01 | 1 | | @1 SHEIBAT-OTHMAN (Nida) @9 préf. |
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| A12 | 02 | 1 | | @1 MCKENNA (Timothy F.) @9 préf. |
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| A14 | 01 | | | @1 Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC, B.P. 451, 1 rue Grandville @2 54001 Nancy @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut. @Z 6 aut. |
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| A15 | 01 | | | @1 LAGEP, Université Claude Bernard Lyon I, CNRS @2 69616 Villeurbanne @3 FRA @Z 1 aut. |
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| A15 | 02 | | | @1 LCPP-CNRS / ESCPE-Lyon @2 69616 Villeurbanne @3 FRA @Z 2 aut. |
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| A20 | | | | @1 7392-7400 |
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| A21 | | | | @1 2004 |
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| A23 | 01 | | | @0 ENG |
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| A43 | 01 | | | @1 INIST @2 120F @5 354000122584230190 |
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| A44 | | | | @0 0000 @1 © 2005 INIST-CNRS. All rights reserved. |
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| A45 | | | | @0 31 ref. |
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| A47 | 01 | 1 | | @0 05-0125858 |
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| A60 | | | | @1 P @2 C |
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| A61 | | | | @0 A |
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| A64 | 01 | 1 | | @0 Industrial & engineering chemistry research |
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| A66 | 01 | | | @0 USA |
|---|
| C01 | 01 | | ENG | @0 This paper addresses the optimization of a batch copolymerization reactor of styrene and α-methylstyrene. The reactor is equipped with a jacket for heat exchange and, thus, for temperature control. The performance index is the batch period, and the decision variable is the jacket inlet temperature. The constraints involved include the process model, the polymer quality, the final monomer conversion rate, the heating/cooling rate of the reactor and upper and lower bounds of the variables. The optimization method is a direct method with a sequential strategy known as control vector parametrization method. The optimal profiles are determined with great care in terms of treatment and fulfilment of constraints. The results show a substantial improvement with respect to the complete discretization method previously used. |
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| C02 | 01 | X | | @0 001D07H |
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| C02 | 02 | X | | @0 001D09D02C |
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| C03 | 01 | X | FRE | @0 En discontinu @5 01 |
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| C03 | 01 | X | ENG | @0 Batchwise @5 01 |
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| C03 | 01 | X | SPA | @0 En discontinuo @5 01 |
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| C03 | 02 | X | FRE | @0 Copolymérisation @5 02 |
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| C03 | 02 | X | ENG | @0 Copolymerization @5 02 |
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| C03 | 02 | X | SPA | @0 Copolimerización @5 02 |
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| C03 | 03 | X | FRE | @0 Réacteur @5 03 |
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| C03 | 03 | X | ENG | @0 Reactor @5 03 |
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| C03 | 03 | X | SPA | @0 Reactor @5 03 |
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| N21 | | | | @1 087 |
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| N44 | 01 | | | @1 OTO |
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| N82 | | | | @1 OTO |
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| pR |
| A30 | 01 | 1 | ENG | @1 Polymer Reaction Engineering: Modeling, Optimization and Control. Meeting @3 Lyons FRA @4 2003-12-01 |
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|
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Format Inist (serveur)
| NO : | PASCAL 05-0125858 INIST |
|---|
| ET : | Optimal temperature-time programming in a batch copolymerization reactor |
|---|
| AU : | SALHI (D.); DAROUX (M.); GENTRIC (C.); CORRIOU (J. P.); PLA (F.); LATIFI (M. A.); SHEIBAT-OTHMAN (Nida); MCKENNA (Timothy F.) |
|---|
| AF : | Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC, B.P. 451, 1 rue Grandville/54001 Nancy/France (1 aut., 2 aut., 3 aut., 4 aut., 5 aut., 6 aut.); LAGEP, Université Claude Bernard Lyon I, CNRS/69616 Villeurbanne/France (1 aut.); LCPP-CNRS / ESCPE-Lyon/69616 Villeurbanne/France (2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Industrial & engineering chemistry research; ISSN 0888-5885; Coden IECRED; Etats-Unis; Da. 2004; Vol. 43; No. 23; Pp. 7392-7400; Bibl. 31 ref. |
|---|
| LA : | Anglais |
|---|
| EA : | This paper addresses the optimization of a batch copolymerization reactor of styrene and α-methylstyrene. The reactor is equipped with a jacket for heat exchange and, thus, for temperature control. The performance index is the batch period, and the decision variable is the jacket inlet temperature. The constraints involved include the process model, the polymer quality, the final monomer conversion rate, the heating/cooling rate of the reactor and upper and lower bounds of the variables. The optimization method is a direct method with a sequential strategy known as control vector parametrization method. The optimal profiles are determined with great care in terms of treatment and fulfilment of constraints. The results show a substantial improvement with respect to the complete discretization method previously used. |
|---|
| CC : | 001D07H; 001D09D02C |
|---|
| FD : | En discontinu; Copolymérisation; Réacteur |
|---|
| ED : | Batchwise; Copolymerization; Reactor |
|---|
| SD : | En discontinuo; Copolimerización; Reactor |
|---|
| LO : | INIST-120F.354000122584230190 |
|---|
| ID : | 05-0125858 |
|---|
Links to Exploration step
Pascal:05-0125858
Le document en format XML
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</keywords><front><div type="abstract" xml:lang="en">This paper addresses the optimization of a batch copolymerization reactor of styrene and α-methylstyrene. The reactor is equipped with a jacket for heat exchange and, thus, for temperature control. The performance index is the batch period, and the decision variable is the jacket inlet temperature. The constraints involved include the process model, the polymer quality, the final monomer conversion rate, the heating/cooling rate of the reactor and upper and lower bounds of the variables. The optimization method is a direct method with a sequential strategy known as control vector parametrization method. The optimal profiles are determined with great care in terms of treatment and fulfilment of constraints. The results show a substantial improvement with respect to the complete discretization method previously used.</div>
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<ET>Optimal temperature-time programming in a batch copolymerization reactor</ET>
<AU>SALHI (D.); DAROUX (M.); GENTRIC (C.); CORRIOU (J. P.); PLA (F.); LATIFI (M. A.); SHEIBAT-OTHMAN (Nida); MCKENNA (Timothy F.)</AU>
<AF>Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC, B.P. 451, 1 rue Grandville/54001 Nancy/France (1 aut., 2 aut., 3 aut., 4 aut., 5 aut., 6 aut.); LAGEP, Université Claude Bernard Lyon I, CNRS/69616 Villeurbanne/France (1 aut.); LCPP-CNRS / ESCPE-Lyon/69616 Villeurbanne/France (2 aut.)</AF>
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<LA>Anglais</LA>
<EA>This paper addresses the optimization of a batch copolymerization reactor of styrene and α-methylstyrene. The reactor is equipped with a jacket for heat exchange and, thus, for temperature control. The performance index is the batch period, and the decision variable is the jacket inlet temperature. The constraints involved include the process model, the polymer quality, the final monomer conversion rate, the heating/cooling rate of the reactor and upper and lower bounds of the variables. The optimization method is a direct method with a sequential strategy known as control vector parametrization method. The optimal profiles are determined with great care in terms of treatment and fulfilment of constraints. The results show a substantial improvement with respect to the complete discretization method previously used.</EA>
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