TY - GEN
T1 - Life Cycle Inventory of Additive Manufacturing Processes
T2 - 3rd International Conference on Quality Innovation and Sustainability, ICQIS 2022
AU - Kokare, Samruddha
AU - Godina, Radu
AU - Oliveira, João Pedro
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT#
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.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023/1/17
Y1 - 2023/1/17
N2 - 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.
AB - 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.
KW - Additive manufacturing
KW - Life cycle assessment
KW - Life cycle inventory
UR - http://www.scopus.com/inward/record.url?scp=85148726952&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-12914-8_7
DO - 10.1007/978-3-031-12914-8_7
M3 - Conference contribution
AN - SCOPUS:85148726952
SN - 978-3-031-12913-1
T3 - Springer Proceedings in Business and Economics
SP - 77
EP - 86
BT - Quality Innovation and Sustainability
A2 - de Oliveira Matias, João Carlos
A2 - Oliveira Pimentel, Carina Maria
A2 - Gonçalves dos Reis, João Carlos
A2 - Costa Martins das Dores, Joana Maria
A2 - Santos, Gilberto
PB - Springer
CY - Cham
Y2 - 3 May 2022 through 4 May 2022
ER -
