Over the last years two factors have deeply affected research in Manufacturing: the growing interest around Additive Manufacturing (AM) processes and the need to reduce the anthropogenic environmental impact. As result, a large papers concerning the environmental impact performance of AM compared to conventional processes have been published. Specifically, very complex models accounting for the impact of each life cycle stage of AMed components have been released. Results revealed that AM, at present, guarantees energy savings only within some domains, and the potential saving depends on several factors: product complexity, eco-properties of the material, energy intensity of the material deposition, light-weighting enabled by AM approaches and extent of the use phase. Above all, the result of the comparative analysis depends both on the considered factors and on the selected system boundaries. The already proposed models are very complex and many inventory data are needed, this could make them unapplicable at industrial level. In the presented paper, simplified models are proposed and the performances of these are quantified with varying the analyzed scenario (considered factors and selected system boundary). Results revealed that, for given scenarios, simplified models characterized by low computational effort, can provide reliable results. Guidelines for the implementation of different models with varying the system boundary are provided for the cumulative energy comparison of Electron Beam Melting and conventional turning for the production of titanium alloys components.

Ingarao G., Ruggirello D., Palmeri D., Di Lorenzo R., Fratini L. (2024). Simplified primary energy models for the selection of Electron Beam Melting over turning in the production of titanium alloys components. In 31st CIRP Conference on Life Cycle Engineering, LCE 2024 (pp. 772-777). Elsevier B.V. [10.1016/j.procir.2024.01.107].

Simplified primary energy models for the selection of Electron Beam Melting over turning in the production of titanium alloys components

Ingarao G.
;
Palmeri D.;Di Lorenzo R.;Fratini L.
2024-01-01

Abstract

Over the last years two factors have deeply affected research in Manufacturing: the growing interest around Additive Manufacturing (AM) processes and the need to reduce the anthropogenic environmental impact. As result, a large papers concerning the environmental impact performance of AM compared to conventional processes have been published. Specifically, very complex models accounting for the impact of each life cycle stage of AMed components have been released. Results revealed that AM, at present, guarantees energy savings only within some domains, and the potential saving depends on several factors: product complexity, eco-properties of the material, energy intensity of the material deposition, light-weighting enabled by AM approaches and extent of the use phase. Above all, the result of the comparative analysis depends both on the considered factors and on the selected system boundaries. The already proposed models are very complex and many inventory data are needed, this could make them unapplicable at industrial level. In the presented paper, simplified models are proposed and the performances of these are quantified with varying the analyzed scenario (considered factors and selected system boundary). Results revealed that, for given scenarios, simplified models characterized by low computational effort, can provide reliable results. Guidelines for the implementation of different models with varying the system boundary are provided for the cumulative energy comparison of Electron Beam Melting and conventional turning for the production of titanium alloys components.
2024
Ingarao G., Ruggirello D., Palmeri D., Di Lorenzo R., Fratini L. (2024). Simplified primary energy models for the selection of Electron Beam Melting over turning in the production of titanium alloys components. In 31st CIRP Conference on Life Cycle Engineering, LCE 2024 (pp. 772-777). Elsevier B.V. [10.1016/j.procir.2024.01.107].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/638216
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