Publicação
Selective laser melting (SLM) and topology optimization for lighter aerospace componentes
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 12:Produção e Consumo Sustentáveis | |
| dc.contributor.author | Seabra, Miguel | |
| dc.contributor.author | Azevedo, José | |
| dc.contributor.author | Araújo, Aurélio | |
| dc.contributor.author | Reis, Luís | |
| dc.contributor.author | Pinto, Elodie | |
| dc.contributor.author | Alves, Nuno | |
| dc.contributor.author | Mortágua, João Pedro | |
| dc.date.accessioned | 2025-06-17T10:49:15Z | |
| dc.date.available | 2025-06-17T10:49:15Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Additive Manufacturing (AM) is a manufacturing process through which a 3D component is produced by consecutively adding material. One of the most promising AM processes is SLM. In SLM a laser completely melts metallic powder particles together forming a 3D component. SLM is known for its freedom of manufacturing constraints allowing complex geometries and high material efficiency. Topology Optimisation (TO) is an optimisation type that calculates the optimal material distribution for a given problem. The combination of SLM with TO is being developed to create lightweight components. In this work, the whole development process, from optimisation to design, production and testing is addressed. Initially, an aircraft bracket topology was optimised to be produced by means of SLM. The TO solution was interpreted and designed for AM. During the interpretation and design process, a design methodology was defined in order to facilitate and make more accurate the TO solution design and make it ready for AM. After the optimised component was produced, metrological and mechanical tests were performed in order to validate the final design and the computer analysis. The optimised component showed considerable weight reduction with an increase of the factor of safety. The experimental tests revealed a good relation to the computer analysis evidencing, however, room for improvement, both in the computer model and the experimental tests. | por |
| dc.identifier.citation | Miguel Seabra, José Azevedo, Aurélio Araújo, Luís Reis, Elodie Pinto, Nuno Alves, Rui Santos, João Pedro Mortágua, Selective laser melting (SLM) and topology optimization for lighter aerospace componentes, Procedia Structural Integrity, Volume 1, 2016, Pages 289-296, ISSN 2452-3216, https://doi.org/10.1016/j.prostr.2016.02.039 | |
| dc.identifier.doi | 10.1016/j.prostr.2016.02.039 | |
| dc.identifier.issn | 2452-3216 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/13283 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier BV | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S2452321616000408 | |
| dc.relation.ispartof | Procedia Structural Integrity | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Additive Manufacturing (AM) | |
| dc.subject | Selective Laser Melting (SLM) | |
| dc.subject | Topology Optimisation | |
| dc.subject | Design for AM | |
| dc.subject | Experimental testing | |
| dc.title | Selective laser melting (SLM) and topology optimization for lighter aerospace componentes | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 296 | |
| oaire.citation.startPage | 289 | |
| oaire.citation.title | Procedia Structural Integrity | |
| oaire.citation.volume | 1 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Alves | |
| person.givenName | Nuno | |
| person.identifier | 452149 | |
| person.identifier.ciencia-id | 311E-1559-8F6C | |
| person.identifier.orcid | 0000-0002-5016-0868 | |
| person.identifier.rid | N-4073-2013 | |
| person.identifier.scopus-author-id | 7006403383 | |
| relation.isAuthorOfPublication | bbd46a74-b77e-4539-a5fe-62ee95cdc4fa | |
| relation.isAuthorOfPublication.latestForDiscovery | bbd46a74-b77e-4539-a5fe-62ee95cdc4fa |