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Optimal 3D printing of complex objects in a 5 - axis printer

2022Journal article Restricted access
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dc.contributor.authorRamos, Bruna
dc.contributor.authorPinho, Diana
dc.contributor.authorMartins, Daniela A.L.
dc.contributor.authorVaz, A. Ismael F.
dc.contributor.authorVicente, Luis Nunes
dc.date.accessioned2024-01-17T16:06:47Z
dc.date.available2024-01-17T16:06:47Z
dc.date.issued2022
dc.description.abstractThree-dimensional (3D) printing, also known as additive manufacturing (AM), has emerged in the last decades as an innovative technology to build complex structures. It enables increasing design complexity and low-cost customization with a vast range of materials. AM capabilities contributed to a widespread acceptance of 3D printing in different industries such as the aerospace and the automotive. However, important issues and limitations still need to be addressed, namely in printing complex objects where supports and material roughness surface are to be minimized. In this work we consider a 5–axis printer with the three traditional xyz movements and two additional degrees of freedom on the printer table bed. These extra degrees of freedom (table bed rotation and tilt) allow printing of more complex objects, and we propose an approach which consists on the decomposition of complex objects into simpler parts, allowing each part to be printed in an optimal way. We aim to reduce the number of supports needed and attain high final object quality due to lower material surface roughness. The optimal printing direction (or, equivalently, rotation) and sequencing of the object parts is determined by solving a combinatorial sequencing optimization problem. All the local or global optimal parts rotations are obtained by solving a global optimization sub-problem for each part, and are taken as input parameters for the sequencing optimization problem. We provide a heuristic approach for the combinatorial sequencing optimization problem, and a multistart multisplit search methodology for computing all the local or global optimal parts rotations for the sub-problems.pt_PT
dc.description.sponsorshipThis work was developed under the FIBR3D project titled Hybrid processes based on additive manufacturing of composites with long or short fibers reinforced thermoplastic matrix (POCI–01–0145–FEDER–016414), supported by the Lisbon Regional Operational Programme 2020, under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRamos, Bruna; Pinho, Diana; Martins, Daniela A.L.; Vaz, A. Ismael F.; Vicente, Luis Nunes (2022). Optimal 3D printing of complex objects in a 5 - axis printer. Optimization and Engineering. ISSN 1389-4420. 23:2, p. 1085-1116pt_PT
dc.identifier.doi10.1007/s11081-021-09624-0pt_PT
dc.identifier.issn1389-4420
dc.identifier.urihttp://hdl.handle.net/10198/29254
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationALGORITMI Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAdditive manufacturing path planningpt_PT
dc.subject3D printingpt_PT
dc.subject5 - axis printerpt_PT
dc.subjectLocal and global optimizationpt_PT
dc.subjectOptimal sequencingpt_PT
dc.titleOptimal 3D printing of complex objects in a 5 - axis printerpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.citation.endPage1116pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1085pt_PT
oaire.citation.titleOptimization and Engineeringpt_PT
oaire.citation.volume23pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNamePinho
person.givenNameDiana
person.identifier.ciencia-id5214-ED0C-35E8
person.identifier.orcid0000-0002-3884-6496
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication02bf2dd9-33ed-4d87-b61d-ca39c51f8451
relation.isAuthorOfPublication.latestForDiscovery02bf2dd9-33ed-4d87-b61d-ca39c51f8451
relation.isProjectOfPublication0d98f999-8fd3-46a8-8a71-a7ff478a1207
relation.isProjectOfPublication.latestForDiscovery0d98f999-8fd3-46a8-8a71-a7ff478a1207

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