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Applied Composite Materials
Erschienen in: Applied Composite Materials 5/2016

01.10.2016

Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites

verfasst von: Dragan Aleksendrić, Pierpaolo Carlone, Velimir Ćirović

Erschienen in: Applied Composite Materials | Ausgabe 5/2016

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Abstract

An intelligent optimization model aiming at off-line or pre-series optimization of the thermal curing cycle of polymer matrix composites is proposed and discussed. The computational procedure is based on the coupling of a finite element thermochemical process model, dynamic artificial neural networks and genetic algorithms. Objective of the optimization routine is the maximization of the composite degree of cure by the definition of the autoclave temperature. Obtained outcomes evidenced the capability of the method as well as its efficiency with respect to hard computing or experimental procedures.
Vorheriger Artikel Prediction of Process-Induced Distortions in L-Shaped Composite Profiles Using Path-Dependent Constitutive Law
Nächster Artikel Optimization of Resin Infusion Processing for Composite Pipe Key-Part and K/T Type Joints Using Vacuum-Assisted Resin Transfer Molding

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Metadaten
Titel
Optimization of the Temperature-Time Curve for the Curing Process of Thermoset Matrix Composites
verfasst von
Dragan Aleksendrić
Pierpaolo Carlone
Velimir Ćirović
Publikationsdatum
01.10.2016
Verlag
Springer Netherlands
Erschienen in
Applied Composite Materials / Ausgabe 5/2016
Print ISSN: 0929-189X
Elektronische ISSN: 1573-4897
DOI
https://doi.org/10.1007/s10443-016-9499-y

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