Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78225

Registo completo
Campo DCValorIdioma
dc.contributor.authorGaspar-Cunha, A.por
dc.contributor.authorCovas, J. A.por
dc.contributor.authorSikora, Januszpor
dc.date.accessioned2022-06-03T12:46:08Z-
dc.date.available2022-06-03T12:46:08Z-
dc.date.issued2022-01-05-
dc.identifier.citationGaspar-Cunha, A.; Covas, J.A.; Sikora, J. Optimization of Polymer Processing: A Review (Part I—Extrusion). Materials 2022, 15, 384. https://doi.org/10.3390/ma15010384por
dc.identifier.issn1996-1944-
dc.identifier.urihttps://hdl.handle.net/1822/78225-
dc.description.abstractGiven the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related to the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems and define the best procedure for each particular practical situation. For this purpose, the state of the art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focuses on extrusion, namely single and twin-screw extruders, extrusion dies, and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing with a very good performance and without the need of demanding computation requirements.por
dc.description.sponsorshipThis research was funded by NAWA-Narodowa Agencja Wymiany Akademickiej, under grant PPN/ULM/2020/1/00125 and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 734205–H2020-MSCA-RISE-2016. The authors also acknowledge the funding by FEDER funds through the COMPETE 2020 Programme and National Funds through FCT (Portuguese Foundation for Science and Technology) under the projects UID-B/05256/2020, UID-P/05256/2020.por
dc.language.isoengpor
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)por
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05256%2F2020/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05256%2F2020/PTpor
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectPolymer processingpor
dc.subjectSingle screwpor
dc.subjectTwin screwpor
dc.subjectInjection mouldingpor
dc.subjectBlow mouldingpor
dc.subjectThermoformingpor
dc.subjectOptimizationpor
dc.subjectArtificial intelligencepor
dc.titleOptimization of polymer processing: a review (Part I - Extrusion)por
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://www.mdpi.com/1996-1944/15/1/384por
oaire.citationStartPage1por
oaire.citationEndPage31por
oaire.citationIssue1por
oaire.citationVolume15por
dc.date.updated2022-01-10T14:39:20Z-
dc.identifier.doi10.3390/ma15010384por
dc.subject.wosScience & Technologypor
sdum.journalMaterialspor
oaire.versionVoRpor
dc.identifier.articlenumber384por
Aparece nas coleções:BUM - MDPI

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
materials-15-00384-v3.pdf3,95 MBAdobe PDFVer/Abrir

Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID