Tuning Decision Support Toolsfor Environmentally Friendly Manufacturing Approach Selection

Rosa Di Lorenzo, Giuseppe Ingarao, Paolo C. Priarone, Yelin Deng

Risultato della ricerca: Otherpeer review

2 Citazioni (Scopus)

Abstract

Awareness about the environmental performance of manufacturing approaches has arisen. Comparative analyses of different manufacturing approaches as well as decision support methods should be developed in the field of metal shaping processes. The present paper aims at tuning a decision support tool for identifying when mass conserving approaches (forming based) are actually preferable over machining processes for manufacturing aluminum based components. A full LCA is developed for comparing the environmental performance of forming and machining approaches as the batch size and geometry complexity hang. The impact of the used metric on the comparative results is analyzed. Results reveal that primary energy can be used as reliable metric for identifying environmentally friendly manufacturing processes.
Lingua originaleEnglish
Numero di pagine9
Stato di pubblicazionePublished - 2017

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1700???

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