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Machine Learning applied to LCA of mechanical components obtained by SLM

datacite.subject.fosEngenharia e Tecnologia
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorAlves, J.
dc.contributor.authorMorgado, Pereira M.
dc.contributor.authorLampreia, S.
dc.date.accessioned2025-12-12T15:22:50Z
dc.date.available2025-12-12T15:22:50Z
dc.date.issued2024
dc.description.abstractOver 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.isbn978-989-33-6225-9
dc.identifier.urihttp://hdl.handle.net/10400.26/60366
dc.language.isoeng
dc.peerreviewedyes
dc.relationCINAV
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMachine Learning
dc.subjectLCA
dc.subjectSLM
dc.subjectMechanical Components
dc.titleMachine Learning applied to LCA of mechanical components obtained by SLMpor
dc.title.alternativeRisk Analysispor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage39
oaire.citation.startPage39
oaire.citation.title5th International Conference on Quality Innovation and Sustainability
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

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