Abstract
With a growing emphasis on environmentally friendly manufacturing, the evaluation of the environmental performance of additive manufacturing (AM) processes has gained attention. Life cycle assessment (LCA) is an important tool to compute the environmental impacts of AM processes. LCA studies of AM processes require life cycle inventory (LCI) data in the form of natural resources, energy consumed, and wastes and emissions associated with these processes. This chapter collects and summarizes the LCI data for different AM processes from the existing literature. It is observed that AM processes in general have higher energy demand than the conventional manufacturing processes. However, the better material utilization of the AM processes, particularly in manufacturing complex shapes, can make them more sustainable in comparison with the conventional manufacturing (CM) processes. The LCI data presented in this chapter can be useful to the manufacturers, researchers, and LCA practitioners in performing LCAs of AM processes and choosing the most sustainable process.
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Acknowledgments
The authors thank Fundação para a Ciência e a Tecnologia (FCT-MCTES) for its financial support via the project UIDB/00667/2020 (UNIDEMI). This study has also received funding from the European Institute of Innovation and Technology (EIT) – Project Smart WAAM: Microstructural Engineering and Integrated Non-Destructive Testing. This body of the European Union receives support from the European Union’s Horizon 2020 research and innovation program. João P. Oliveira acknowledges the funding of CENIMAT/i3N by national funds through the FCT-Fundação para a Ciência e a Tecnologia, I.P., within the scope of Multiannual Financing of R&D Units, reference UIDB/50025/2020-2023.
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Kokare, S., Godina, R., Oliveira, J.P. (2023). Life Cycle Inventory of Additive Manufacturing Processes: A Review. In: de Oliveira Matias, J.C., Oliveira Pimentel, C.M., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M., Santos, G. (eds) Quality Innovation and Sustainability. ICQUIS 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-12914-8_7
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