CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites
Main Author: | |
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Publication Date: | 2012 |
Other Authors: | , , |
Format: | Article |
Language: | eng |
Source: | Brazilian Journal of Chemical Engineering |
Download full: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322012000300013 |
Summary: | Pultrusion is a composite manufacturing process in which fibers are pulled continuously through a resin bath for resin impregnation before entering into a heated die, where an exothermic cure reaction occurs. The energy needed to provide the cure reaction depends on many aspects such as cure kinetics and pulling speed. Generally, the pultrusion forming is divided in heat zones that can be heated at different temperature levels. The temperature distribution on the die surface can greatly affect material quality and energy cost. In the present work, through a CFD (Computational Fluid Dynamics) algorithm, it was possible to verify that the energy requirements can be reduced by changing the heating configuration of the pultrusion die. For this, an alternative configuration with internal heaters inside the die body was simulated. The heating rate was considered as the objective function. For the optimization study, we used a stochastic algorithm, the so-called particle swarm optimization (PSO) algorithm. The results showed that the energy spent to cure the resin-fiber system can be reduced considerably. |
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CFD-optimization algorithm to optimize the energy transport in pultruded polymer compositesCure reactionComputer fluid dynamicsPolymer compositeParticle SwarmPultrusion is a composite manufacturing process in which fibers are pulled continuously through a resin bath for resin impregnation before entering into a heated die, where an exothermic cure reaction occurs. The energy needed to provide the cure reaction depends on many aspects such as cure kinetics and pulling speed. Generally, the pultrusion forming is divided in heat zones that can be heated at different temperature levels. The temperature distribution on the die surface can greatly affect material quality and energy cost. In the present work, through a CFD (Computational Fluid Dynamics) algorithm, it was possible to verify that the energy requirements can be reduced by changing the heating configuration of the pultrusion die. For this, an alternative configuration with internal heaters inside the die body was simulated. The heating rate was considered as the objective function. For the optimization study, we used a stochastic algorithm, the so-called particle swarm optimization (PSO) algorithm. The results showed that the energy spent to cure the resin-fiber system can be reduced considerably.Brazilian Society of Chemical Engineering2012-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322012000300013Brazilian Journal of Chemical Engineering v.29 n.3 2012reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322012000300013info:eu-repo/semantics/openAccessSantos,L. S.Biscaia Jr.,E. C.Pagano,R. L.Calado,V. M. A.eng2012-10-25T00:00:00Zoai:scielo:S0104-66322012000300013Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2012-10-25T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
title |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
spellingShingle |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites Santos,L. S. Cure reaction Computer fluid dynamics Polymer composite Particle Swarm |
title_short |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
title_full |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
title_fullStr |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
title_full_unstemmed |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
title_sort |
CFD-optimization algorithm to optimize the energy transport in pultruded polymer composites |
author |
Santos,L. S. |
author_facet |
Santos,L. S. Biscaia Jr.,E. C. Pagano,R. L. Calado,V. M. A. |
author_role |
author |
author2 |
Biscaia Jr.,E. C. Pagano,R. L. Calado,V. M. A. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Santos,L. S. Biscaia Jr.,E. C. Pagano,R. L. Calado,V. M. A. |
dc.subject.por.fl_str_mv |
Cure reaction Computer fluid dynamics Polymer composite Particle Swarm |
topic |
Cure reaction Computer fluid dynamics Polymer composite Particle Swarm |
description |
Pultrusion is a composite manufacturing process in which fibers are pulled continuously through a resin bath for resin impregnation before entering into a heated die, where an exothermic cure reaction occurs. The energy needed to provide the cure reaction depends on many aspects such as cure kinetics and pulling speed. Generally, the pultrusion forming is divided in heat zones that can be heated at different temperature levels. The temperature distribution on the die surface can greatly affect material quality and energy cost. In the present work, through a CFD (Computational Fluid Dynamics) algorithm, it was possible to verify that the energy requirements can be reduced by changing the heating configuration of the pultrusion die. For this, an alternative configuration with internal heaters inside the die body was simulated. The heating rate was considered as the objective function. For the optimization study, we used a stochastic algorithm, the so-called particle swarm optimization (PSO) algorithm. The results showed that the energy spent to cure the resin-fiber system can be reduced considerably. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322012000300013 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322012000300013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322012000300013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.29 n.3 2012 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213173837168640 |