The technological suitability of Additive Manufacturing (AM) for end-use components is, by now, well recognized. In order to understand the actual potential of AM technologies, two key aspects are still to be better investigated: the cost and the environmental performance with respect to the conventional manufacturing routes. In the present paper, cost and primary energy models for both machining and additive/subtractive integrated approaches are presented. Comparative analyses while varying the product shape are carried out for the manufacture of steel components. Cradle-to-gate plus end-of-life system boundaries are applied, and the relevance of light-weighting is accounted for. The here proposed models allow the development of different energy- and cost-wise decision support tools suitable for identifying the sustainable domain of application of AM.
Energy- and cost-wise decision support tools for the manufacturing approach selection / Priarone, P. C.; Ingarao, G.; Settineri, L.; Di Lorenzo, R.. - ELETTRONICO. - (2019), pp. 1-10. (Intervento presentato al convegno XIV Convegno dell’Associazione Italiana Tecnologie Manifatturiere tenutosi a Padova, Italia nel 9-11 Settembre 2019).
Energy- and cost-wise decision support tools for the manufacturing approach selection
Priarone P. C.;Settineri L.;
2019
Abstract
The technological suitability of Additive Manufacturing (AM) for end-use components is, by now, well recognized. In order to understand the actual potential of AM technologies, two key aspects are still to be better investigated: the cost and the environmental performance with respect to the conventional manufacturing routes. In the present paper, cost and primary energy models for both machining and additive/subtractive integrated approaches are presented. Comparative analyses while varying the product shape are carried out for the manufacture of steel components. Cradle-to-gate plus end-of-life system boundaries are applied, and the relevance of light-weighting is accounted for. The here proposed models allow the development of different energy- and cost-wise decision support tools suitable for identifying the sustainable domain of application of AM.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2788123