Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/55865

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dc.contributor.authorHünkar, Ertunçpor
dc.contributor.authorFigueiredo, Brunopor
dc.date.accessioned2018-09-17T08:24:36Z-
dc.date.available2018-09-17T08:24:36Z-
dc.date.issued2018-09-19-
dc.identifier.urihttps://hdl.handle.net/1822/55865-
dc.description.abstractOur research aims to push the limits of 3D printing towards the structural design and optimization. Additive manufacturing has an unique feature which is printing multi-faced complex geometries as easy as simple ones. Therefore additive manufacturing creates the chance of producing really small scaled complex forms. In a structural network, it can be easily understood that the more geometric variations to respond stress, the more adaptive structure will become to respond structural needs. The structural reaction is to be fictionalized by procedural operations and analysis that will be a tool to design multi-scaled fragmented structures. Those operations is to use the structural analysis and material reactions. Their iteration with the overall geometry will form the geometric generations. However the verification of the generations as outcomes of a real 3D printer is crucial. To verify, the precision of additive manufacturing should be sensitive enough that the structural element will function as it's simulated in computer with the algorithm. The sensitivity is important because, even couple of micro-sized problems can cause bigger ones in the structural element itself. The combination of all these variables can enable an initial geometry, to be able to adapt the stuructural needs in every additive generation.por
dc.description.sponsorshipThis work has the financial support of the Project Lab2PT – Landscapes, Heritage and Territory laboratory – AUR/04509 and FCT through national founds and when applicable of the FEDER cofinancing, in the aim of the new partnership agreement PT2020 and COMPETE2020 – POCI 01 0145 FEDER 007528.por
dc.language.isoengpor
dc.publisherLodz University of Technologypor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147320/PTpor
dc.rightsopenAccesspor
dc.subjectAdditive manufacturingpor
dc.subjectStructural optimizationpor
dc.subjectSelective Laser Sintering (SLS)por
dc.subjectStructural Designpor
dc.subjectDesign Computationpor
dc.subjectAdditive Manufacturing(AM)por
dc.subjectShape Grammarspor
dc.title3D printing of high strength and multi-scaled fragmented structurespor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://papers.cumincad.org/cgi-bin/works/Show?ecaade2018_434por
oaire.citationStartPage173por
oaire.citationEndPage178por
oaire.citationVolume1por
dc.subject.fosHumanidades::Outras Humanidadespor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.conferencePublicationComputing for a better tomorrow - Proceedings of the 36th eCAADe Conference-
sdum.bookTitleECAADE 2018: COMPUTING FOR A BETTER TOMORROW, VO 1por
Aparece nas coleções:EAAD - Comunicações

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