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Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach

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dc.contributor.authorGarcía Domínguez, Amabel
dc.contributor.authorClaver Gil, Juan
dc.contributor.authorSebastián Pérez, Miguel Ángel
dc.date.accessioned2026-01-13T13:42:29Z
dc.date.available2026-01-13T13:42:29Z
dc.date.issued2020-09-02
dc.descriptionThe registered version of this article, first published in “Polymers, 12(9), 1–27", is available online at the publisher's website: MDPI, https://doi.org/10.3390/polym12091993
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en “Polymers, 12(9), 1–27", está disponible en línea en el sitio web del editor: MDPI, https://doi.org/10.3390/polym12091993
dc.description.abstractThe use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additivemanufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufacturing and explores the synergies between additive manufacturing, parametric design, and optimization processes to guide their integration into the proposedmethodology. By usingGrasshopper, a visual programming application, a continuous data flowfor parts optimization is defined. Parametric design tools support the structural optimization of the general geometry, the infill, and the shell structure to obtain lightweight designs. Thus, the final shapes are obtained as a result of the optimization process which starts from basic geometries, not from an initial design. The infill does not correspond to pre-established patterns, and its elements are sized in a non-uniform manner throughout the piece to respond to different local loads. Mass customization and Fused Deposition Modeling (FDM) systems represent contexts of special potential for this methodology.en
dc.description.provenanceMade available in DSpace on 2026-01-13T13:42:29Z (GMT). No. of bitstreams: 1 García-Domínguez_Amabel_Integration of Additi_AMABEL GARCIA DOMING.pdf: 9889727 bytes, checksum: 76df88ed7ab84aa3dc2b972f5e8c7c7e (MD5) Previous issue date: 2020-09-02en
dc.description.versionversión publicada
dc.identifier.citationGarcía-Dominguez, A., Claver, J., & Sebastián, M. A. (2020). Integration of additive manufacturing, parametric design, and optimization of parts obtained by fused deposition modeling (FDM). a methodological approach. Polymers, 12(9), 1–27. https://doi.org/10.3390/polym12091993
dc.identifier.doihttps://doi.org/10.3390/polym12091993
dc.identifier.eissn2073-4360
dc.identifier.issn2073-4360
dc.identifier.urihttps://hdl.handle.net/20.500.14468/31380
dc.journal.issue9
dc.journal.titlePolymers
dc.journal.volume12
dc.language.isoen
dc.page.final27
dc.page.initial1
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería de Construcción y Fabricación
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject3305 Tecnología de la construcción
dc.subject3310 Tecnología industrial
dc.subject.keywordsadditive manufacturingen
dc.subject.keywordsFDMen
dc.subject.keywordsoptimizationen
dc.subject.keywordsparametric designen
dc.subject.keywordsinfill optimizationen
dc.subject.keywordsmass customizingen
dc.subject.odsODS 9 - Industria, innovación e infraestructura
dc.titleIntegration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approachen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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relation.isAuthorOfPublication637006ae-ca6f-4558-beac-970aab69cb69
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relation.isAuthorOfPublication.latestForDiscovery749d96f3-a0ba-49e6-80f5-af00f4652abb
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