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 2014-03-01T01:18:48Z
dc.date.available 2014-03-01T01:18:48Z
dc.date.issued 2003 en
dc.identifier.issn 0015-7899 en
dc.identifier.uri http://hdl.handle.net/123456789/15209
dc.subject Composite Material en
dc.subject Computer Simulation en
dc.subject Evolution Strategy en
dc.subject Genetic Algorithm en
dc.subject Optimal Design en
dc.subject.classification Engineering, Multidisciplinary en
dc.subject.classification Engineering, Mechanical en
dc.subject.other REINFORCED COMPOSITES en
dc.subject.other CURING PROCESS en
dc.subject.other RESIN 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.language English en
heal.publicationDate 2003 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 straightforward 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.publisher SPRINGER-VERLAG BERLIN en
dc.identifier.doi 10.1007/s10010-003-0099-2 en
dc.identifier.isi ISI:000183122500004 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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