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dc.contributor.authorUnzueta, Gorka
dc.contributor.authorEguren, Jose Alberto
dc.contributor.authorEsnaola, Aritz
dc.contributor.authorAurrekoetxea, Jon
dc.contributor.authorSukia Mendizabal, Itxaro
dc.date.accessioned2024-04-29T14:46:07Z
dc.date.available2024-04-29T14:46:07Z
dc.date.issued2024
dc.identifier.isbn978-3-031-57996-7en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=176539en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6389
dc.description.abstractThis paper presents the application of an advanced quality management tool, the design of experiments (DOE), in order to characterise a new material (carbon fibre-reinforced polyamide) used in the 3D printing process. The study focuses on the definition of optimal 3D printing parameters, such as nozzle size, temperature, print speed, layer height and print orientation, to achieve desired mechanical properties. The results show that layer height and print orientation have a significant effect on mechanical properties and printing time. This study provides insights into the optimisation of 3D printing parameters for the production of carbon fibre-reinforced polyamide (PA-CF) parts with desired mechanical properties, which can have important applications in various industries, such as aerospace, automotive and medical devices.en
dc.language.isoengen
dc.publisherSpringeren
dc.rights© 2024 The Author(s)en
dc.subject3D printingen
dc.subjectcarbon fibre-reinforced polyamide (PA-CF)en
dc.subjectdesign of experiments (DOE)en
dc.subjectadditive manufacturingen
dc.subjectquality managementen
dc.subjectODS 9 Industria, innovación e infraestructuraen
dc.titleDefinition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamideen
dcterms.accessRightshttp://purl.org/coar/access_right/c_f1cfen
dcterms.sourceProceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206.en
local.contributor.groupDirección de operaciones logístico productivases
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1007/978-3-031-57996-7_1en
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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