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dc.date.accessioned2020-12-01T15:24:29Z
dc.date.available2020-12-01T15:24:29Z
dc.date.issued2015-02-17
dc.identifierdoi:10.17170/kobra-202011192223
dc.identifier.urihttp://hdl.handle.net/123456789/12061
dc.descriptionThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in AIP Conference Proceedings 1593, 766 (2014) and may be found at https://doi.org/10.1063/1.4873888eng
dc.language.isoengeng
dc.subjectfunctionally graded materialseng
dc.subjectempirical modelingeng
dc.subjectdesign and analyis of computer experimentseng
dc.subjectmulti-objective optimizationeng
dc.subjectpolymerseng
dc.subject.ddc600
dc.titleOptimization of thermomechanical processes for the functional gradation of polymers by means of advanced empirical modeling techniqueseng
dc.typeAufsatz
dcterms.abstractIn this paper, an optimization procedure for complex manufacturing processes is presented. The procedure is based on advanced empirical modeling techniques and will be presented in two parts. The first part comprises the selection and generation of the empirical surrogate models. The process organization and the design of experiments are taken into account. In order to analyze and optimize the processes based on the empirical models, advanced methods and tools are presented in the second part. These tools include visualization methods and a sensitivity and robustness analysis. Moreover, the obtained surrogate models are used for a model-based multi-objective optimization in order to explore the gradation potential of the processes. The procedure is applied to two thermo-mechanical processes for the functional gradation of polymers - a monoxiale stretching of polycarbonate films and a compression moulding process for polypropylene sheets.eng
dcterms.accessRightsopen access
dcterms.creatorBiermann, Dirk
dcterms.creatorHess, Stefan
dcterms.creatorRies, Angela
dcterms.creatorWagner, Tobias
dcterms.creatorWibbeke, Andrea
dc.relation.doidoi:10.1063/1.4873888
dc.subject.swdFunktioneller Gradientenwerkstoffger
dc.subject.swdModellierungger
dc.subject.swdVersuchsplanungger
dc.subject.swdMehrkriterielle Optimierungger
dc.subject.swdPolymereger
dc.type.versionpublishedVersion
dcterms.source.identifierEISSN 1551-7616
dcterms.source.issueIssue 1
dcterms.source.journalAIP Conference Proceedingseng
dcterms.source.pageinfo766-770
dcterms.source.volumeVolume 1593
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