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.
Titolo: | Energy- and cost-wise decision support tools for the manufacturing approach selection |
Autori: | |
Data di pubblicazione: | 2019 |
Abstract: | The technological suitability of Additive Manufacturing (AM) for end-use components is, by now, w...ell 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. |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/2788123