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https://hdl.handle.net/1822/55865
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Campo DC | Valor | Idioma |
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dc.contributor.author | Hünkar, Ertunç | por |
dc.contributor.author | Figueiredo, Bruno | por |
dc.date.accessioned | 2018-09-17T08:24:36Z | - |
dc.date.available | 2018-09-17T08:24:36Z | - |
dc.date.issued | 2018-09-19 | - |
dc.identifier.uri | https://hdl.handle.net/1822/55865 | - |
dc.description.abstract | Our 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.sponsorship | This 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.iso | eng | por |
dc.publisher | Lodz University of Technology | por |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147320/PT | por |
dc.rights | openAccess | por |
dc.subject | Additive manufacturing | por |
dc.subject | Structural optimization | por |
dc.subject | Selective Laser Sintering (SLS) | por |
dc.subject | Structural Design | por |
dc.subject | Design Computation | por |
dc.subject | Additive Manufacturing(AM) | por |
dc.subject | Shape Grammars | por |
dc.title | 3D printing of high strength and multi-scaled fragmented structures | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://papers.cumincad.org/cgi-bin/works/Show?ecaade2018_434 | por |
oaire.citationStartPage | 173 | por |
oaire.citationEndPage | 178 | por |
oaire.citationVolume | 1 | por |
dc.subject.fos | Humanidades::Outras Humanidades | por |
dc.description.publicationversion | info:eu-repo/semantics/publishedVersion | por |
dc.subject.wos | Science & Technology | por |
sdum.conferencePublication | Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference | - |
sdum.bookTitle | ECAADE 2018: COMPUTING FOR A BETTER TOMORROW, VO 1 | por |
Aparece nas coleções: | EAAD - Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ecaade2018_434.pdf | 4,99 MB | Adobe PDF | Ver/Abrir |