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Computational design methodology for additive manufacturing to enhance customised products and process management efficiency

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dc.contributor.authorGarcía Domínguez, Amabel
dc.contributor.authorClaver Gil, Juan
dc.contributor.authorCamacho López, Ana María
dc.contributor.authorSebastián Pérez, Miguel Ángel
dc.date.accessioned2025-09-17T10:39:56Z
dc.date.available2025-09-17T10:39:56Z
dc.date.issued2025-05-24
dc.descriptionThe registered version of this article, first published in “Results in Engineering, 27 (2025); 1-30", is available online at the publisher's website: https://doi.org/10.1016/j.rineng.2025.105480
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en “Results in Engineering, 27 (2025); 1-30", está disponible en línea en el sitio web del editor: https://doi.org/10.1016/j.rineng.2025.105480
dc.descriptionExperimental data and simulation results that support the findings of this study are available in e-ciencia Datos with the identifier https://doi.org/10.21950/GKWIBY. Supplementary information is available from the corresponding author upon reasonable request
dc.description.abstractThe emergence of Additive Manufacturing (AM) provides new horizons for innovation and optimization of designs. However, the limited knowledge of Design for Additive Manufacturing (DfAM) and the constraints imposed by conventional DfAM frameworks are hindering the potential of AM. The scope of recent studies, focused on algorithmic approaches, is limited to certain aspects of the problem and does not offer a comprehensive solution to generate efficient custom designs. To overcome these limitations, the role of interdisciplinary and transversal DfAM methodologies is essential. This work presents a DfAM methodology based on computational design with a continuous dataflow for the integration of all the design phases of a knowledge-based DfAM framework in a single algorithm, from initial design stages to machine code generation, what fully exploits the potential of additive technologies in customized products. This facilitates the integration of key data relationships and connections, promoting the development of intelligent and efficient open systems. Firstly, a bibliographic review on actual knowledge-based DfAM framework is exposed. Then, the proposed methodology is detailed and discussed. Furthermore, its potential applied to customized parts with specific mechanical requirements is validated through a splint design case study. Finally, the proposed methodology advantages and limitations are discussed.en
dc.description.versionversión publicada
dc.identifier.citationAmabel García-Domínguez , Juan Claver, Ana M. Camacho, Miguel A. Sebastián; Computational design methodology for additive manufacturing to enhance customised products and process management efficiency; Results in Engineering, 27 (2025); 1-30
dc.identifier.doihttps://doi.org/10.1016/j.rineng.2025.105480
dc.identifier.issn2590-1230
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30083
dc.journal.titleResults in Engineering,
dc.journal.volume27
dc.language.isoen
dc.page.final30
dc.page.initial1
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería de Construcción y Fabricación
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PLEC2021-007750/ES/TRASTOCANDO LA DESPOBLACIÓN: LA FABRICACIÓN ADITIVA COMO DISRUPCIÓN TECNOLÓGICA PARA LUCHAR CONTRA LA DESPOBLACIÓN RURAL Y LAS DESIGUALDADES SOCIALES Y ESPACIALES.
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject3305 Tecnología de la construcción
dc.subject.keywordsAdditive manufacturingen
dc.subject.keywordsDesign for additive manufacturingen
dc.subject.keywordsComputational designen
dc.subject.keywordsOptimizationen
dc.subject.keywordsMass customizationen
dc.subject.keywordsPersonalizationen
dc.titleComputational design methodology for additive manufacturing to enhance customised products and process management efficiencyen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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relation.isAuthorOfPublication45331d02-189c-4439-a246-1a0944b2185a
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relation.isAuthorOfPublication.latestForDiscovery749d96f3-a0ba-49e6-80f5-af00f4652abb
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