Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/81487

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dc.contributor.authorCosta, Linopor
dc.contributor.authorGaspar-Cunha, A.por
dc.contributor.editorVasile, M.por
dc.contributor.editorQuagliarella, D.por
dc.date.accessioned2023-01-03T10:36:13Z-
dc.date.available2023-01-03T10:36:13Z-
dc.date.issued2021-
dc.identifier.isbn978-3-030-80542-5_6por
dc.identifier.urihttps://hdl.handle.net/1822/81487-
dc.description.abstractThis paper presents a new approach to robustness analysis in multi-objective optimization problems aimed at obtaining the most robust Pareto front solutions and also at distributing solutions along the most robust regions of the optimal Pareto set. The methodology proposed is applied to a single screw polymer extrusion with the aim of obtaining the most robust solutions for the optimization of the extruder geometry. The non-dominated solutions obtained take into account their degree of robustness and the distribution of such solutions along the Pareto front accordingly with specific algorithm parameter values. The results obtained have physical meaning and are in accordance with the practical knowledge about the industrial process studied.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.relationNo 734205 – H2020-MSCA-RISE-2017por
dc.rightsopenAccesspor
dc.subjectPolymer processingpor
dc.subjectRobustnesspor
dc.subjectPolymer Extrusionpor
dc.subjectMulti-objective optimizationpor
dc.titleMulti-objective robustness analysis of the polymer extrusion processpor
dc.typebookPartpor
oaire.citationStartPage85por
oaire.citationEndPage95por
dc.identifier.doi10.1007/978-3-030-80542-5_6por
dc.subject.fosEngenharia e Tecnologia::Engenharia dos Materiaispor
sdum.bookTitleAdvances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applicationspor
oaire.citationEdition1por
oaire.versionAMpor
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