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.
Tuning Decision Support Tools for Environmentally Friendly Manufacturing Approach Selection / Ingarao, Giuseppe; Priarone, PAOLO CLAUDIO; Deng, Yelin; Di Lorenzo, Rosa. - STAMPA. - 68:(2017), pp. 647-655. (Intervento presentato al convegno KES Sustainable Design and Manufacturing 2017 tenutosi a Bologna, Italy nel April 26-28, 2017) [10.1007/978-3-319-57078-5_61].
Tuning Decision Support Tools for Environmentally Friendly Manufacturing Approach Selection
PRIARONE, PAOLO CLAUDIO;
2017
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.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2670382
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