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Cure cycle design for composite materials using computer simulation and optimisation tools

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dc.contributor.author Pantelelis, N en
dc.contributor.author Vrouvakis, T en
dc.contributor.author Spentzas, K en
dc.date.accessioned 2014-03-01T01:51:51Z
dc.date.available 2014-03-01T01:51:51Z
dc.date.issued 2002 en
dc.identifier.issn 00157899 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/26480
dc.subject.other Computer simulation en
dc.subject.other Genetic algorithms en
dc.subject.other Productivity en
dc.subject.other Quality control en
dc.subject.other Thermosets en
dc.subject.other Cure cycle en
dc.subject.other Composite materials en
dc.title Cure cycle design for composite materials using computer simulation and optimisation tools en
heal.type journalArticle en
heal.identifier.primary 10.1007/s10010-003-0099-2 en
heal.identifier.secondary http://dx.doi.org/10.1007/s10010-003-0099-2 en
heal.publicationDate 2002 en
heal.abstract In the following we present a computer simulation tool coupled with a numerical optimisation method that have been developed for use in the optimal design of the cure cycle of the production of thermoset- matrix composite parts. Their use permits the fast and straight-forward optimal design of the cure cycles and leads to improved quality, reduced production times and reduced scrap. For the simulation of the cure cycle a one-dimensional non-linear transient model has been developed and coupled with the Evolution Strategy, of the Genetic Algorithms family, for the optimal design of the cure cycle of thick composite parts taking into account various realistic restrictions and targets of the production. The effectiveness and the usefulness of the proposed approach are demonstrated for several target performances together with a comparison between optimisation methods for the optimal tuning of the cure cycle. en
heal.journalName Forschung im Ingenieurwesen/Engineering Research en
dc.identifier.doi 10.1007/s10010-003-0099-2 en
dc.identifier.volume 67 en
dc.identifier.issue 6 en
dc.identifier.spage 254 en
dc.identifier.epage 262 en


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