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<title>Ex-ante life cycle assessment of directed energy deposition based additive manufacturing: A comparative gearbox production case study</title>
<creator>Santiago Herrera, Mario</creator>
<creator>Igos, Elorri</creator>
<creator>Alegre Calderón, Jesús Manuel</creator>
<creator>Martel Martín, Sonia</creator>
<creator>Barros García, Rocío</creator>
<subject>Life cycle assessment</subject>
<subject>Scale-up</subject>
<subject>Ex-ante LCA</subject>
<subject>Additive manufacturing</subject>
<subject>Emerging technologies</subject>
<subject>Eco-desing</subject>
<description>As new technologies emerge is necessary to assess if they can actually contribute to sustainable improvement of industrial processes. Life Cycle Assessment (LCA) is a valuable tool to determine environmental impacts and compare systems. However, this comparison raises challenges when they have different maturity. This paper performs ex-ante LCA of an additive manufacturing (AM) technology, based on a step-wise approach built with parametrized modelling, allowing fair comparison with its conventional counterpart, for the study case of a gearbox component. Results show that AM technology generates higher impacts than conventional manufacturing (CM) casting process, using baseline values. These impacts can be reduced by 94% with best operating performances from literature, with emissions from 4520 to 264 kg CO2 eq./kg piece, and non-significant difference with CM (demonstrated by Monte Carlo sampling). A 58% weight reduction is necessary for the AM process to improves its environmental sustainability. This research provides eco-design recommendations supporting decision making for further development of new technology.</description>
<date>2024-06-20</date>
<date>2024-06-20</date>
<date>2024-04</date>
<type>info:eu-repo/semantics/article</type>
<identifier>2214-9937</identifier>
<identifier>http://hdl.handle.net/10259/9296</identifier>
<identifier>10.1016/j.susmat.2023.e00819</identifier>
<language>eng</language>
<relation>Sustainable Materials and Technologies. 2024, V. 39, e00819</relation>
<relation>https://doi.org/10.1016/j.susmat.2023.e00819</relation>
<rights>http://creativecommons.org/licenses/by-nc/4.0/</rights>
<rights>info:eu-repo/semantics/openAccess</rights>
<rights>Atribución-NoComercial 4.0 Internacional</rights>
<publisher>Elsevier</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>