Publication
Machine Learning applied to LCA of mechanical components obtained by SLM
| datacite.subject.fos | Engenharia e Tecnologia | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Alves, J. | |
| dc.contributor.author | Morgado, Pereira M. | |
| dc.contributor.author | Lampreia, S. | |
| dc.date.accessioned | 2025-12-12T15:22:50Z | |
| dc.date.available | 2025-12-12T15:22:50Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Over time, industries are starting to be concern about their impact on the environment, and therefore new technologies, have arrived with the capability of improving the sustainability of the industrial paradigm. Machine Learning (ML) and Artificial Intelligence (AI) are taking over the global industry, by offering new data drive solutions capable of optimizing decision-making and operation. Meanwhile, new advanced manufacturing technologies such as Selective Laser Melting (SLM), also known as 3D printing, are spreading through the market, due to the new doors unlocked by the possibility of manufacturing high for a minimal time and use of material. Together, these new technologies of industry 4.0, promise to bring an all-new future, sustainable and resilient. The aim of this work is to analyze how can ML and AI expand each phase of the LCA of a light alloy, produced by SLM, in order to improve the sustainability of this new advanced manufacturing technologies. | eng |
| dc.identifier.isbn | 978-989-33-6225-9 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/60366 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.relation | CINAV | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Machine Learning | |
| dc.subject | LCA | |
| dc.subject | SLM | |
| dc.subject | Mechanical Components | |
| dc.title | Machine Learning applied to LCA of mechanical components obtained by SLM | por |
| dc.title.alternative | Risk Analysis | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 39 | |
| oaire.citation.startPage | 39 | |
| oaire.citation.title | 5th International Conference on Quality Innovation and Sustainability | |
| oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa |
