Life Cycle Assessment of Cold Spray Additive Manufacturing and Conventional Machining of Aluminum Alloy Flange

Dileep Kumar, Suresh Palanisamy, Kannoorpatti Krishnan, Md Morshed Alam

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
122 Downloads (Pure)

Abstract

Cold spray additive manufacturing (CSAM) is generally used to repair worn components and build complex on-demand parts by depositing metal powder layer-wise using compressed air. Previous studies on CSAM were focused on printing parameters, materials properties, and printed part mechanical performance. However, the energy consumption and environmental impacts of CSAM processes have not yet been investigated, which are essential factors for sustainable manufacturing. This study aims to investigate the carbon footprint of the CSAM process and compare it with conventional machining processes and other additive manufacturing. The life cycle assessment methodology was followed to calculate the carbon footprint of a pipe flange, considering rod or tube as a feedstock. Results revealed that the machined flange from the tube had the lowest CO2-eq emissions of 31 kg CO2-eq due to low rough machining energy consumption and scrap production, compared to the machined flange from a rod and a printed flange from powder. Moreover, the life cycle carbon emissions increased by 8% and 19% in case of the printed and machined flanges, with uncertainties of 4% and 9%, respectively, when changing feedstock CO2 emissions. From a regional perspective, the CSAM process was responsible for the lowest CO2-eq emissions in Tasmania and South Australia.

Original languageEnglish
Article number1684
Pages (from-to)1-21
Number of pages21
JournalMetals
Volume13
Issue number10
DOIs
Publication statusPublished - Oct 2023

Bibliographical note

Funding Information:
This research was funded by AUSTRALIAN POSTGRADUATE RESEARCH, grant number int-1114″. APR.Intern (aprintern.org.au).

Funding Information:
This research was supported by the Australian Postgraduate Research Internship program and SPEE3D. The authors would like to acknowledge the support of Novana Hutosait and Mohammed Abdul Khaliq from Swinburne University of Technology, and Byron Kennedy and Steve Camilleri from SPEE3D, Australia, for their in-kind support.

Publisher Copyright:
© 2023 by the authors.

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