Salta al contenuto principale
Passa alla visualizzazione normale.

ROSA DI LORENZO

A methodology for evaluating the influence of batch size and part geometry on the environmental performance of machining and forming processes

  • Autori: Ingarao, G.; Priarone, P.; DI LORENZO, R.; Settineri, L.
  • Anno di pubblicazione: 2016
  • Tipologia: Articolo in rivista (Articolo in rivista)
  • Parole Chiave: Sustainable manufacturing Comparative analysis Forming Machining Process Sustainability Diagram
  • OA Link: http://hdl.handle.net/10447/178270

Abstract

Metallic material processing plays a significant role in terms of global environmental impact. As a result, energy- and resource-efficient strategies in the metal shaping technology domain need to be identified urgently. Recently, the scientific world has been paying more and more attention to the environmental impact analysis of manufacturing processes. Despite this increased attention, the state of the art in the domain of environmental impact analysis of metal shaping processes is still characterized by gaps in knowledge and in methodologies. In particular, metal forming processes are still not well documented, in terms of their environmental impact, and there is a lack of systematic and comparative approaches. This paper offers a contribution to a better understanding of the environmental impact of forming and machining processes. A thorough methodology has been developed to take into due account all the environmental factors of influence on both of the considered technologies. A comparative analysis has been performed, varying the production batch size and part geometry. The importance of an environmental performance analysis that can include both batch size and geometry variations is discussed and highlighted throughout the paper. Finally, the application of the proposed methodology has resulted in the setting up of an eco-design tool, here defined as a Process Sustainability Diagram (PSD), which allows the greenest technology to be selected for the analyzed case study, while varying the considered factors of influence.