Mohd Mansor, MS, Raja, S, Yusof, F, Muhamad, MR, Manurung, YHP, Adenan, MS, Hussein, NIS and Ren, J (2024) Integrated approach to Wire Arc Additive Manufacturing (WAAM) optimization: Harnessing the synergy of process parameters and deposition strategies. Journal of Materials Research and Technology, 30. pp. 2478-2499. ISSN 2238-7854
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Abstract
The flexibility of Additive Manufacturing (AM) technologies in the metal 3D printing process has gained significant attention in research and industry, which allows for fabricating complicated and intricate Near-Net-Shape (NNS) geometry designs. The achievement of desired characteristics in Wire-Arc Additive Manufactured (WAAM) components is primarily contingent upon the careful selection and precise control of significant processing variables, including bead deposition strategy, wire materials, type of heat source, wire feed speed, and the application of shielding gas. As a result, optimizing these most significant process parameters has improved, producing higher-quality WAAM-manufactured components. Consequently, this has contributed to the overall rise in the method's popularity and many applications. This article aims to provide an overview of the wire deposition strategy and the optimization of process parameters in WAAM. The optimization of numerous wire deposition techniques and process parameters in the WAAM method, which is required to manufacture high-quality additively manufactured metal parts, is summarised. The WAAM optimization algorithm, in addition to anticipate technological developments, has been proposed. Subsequently, a discussion ensues regarding the potential for WAAM optimization within the swiftly growing domain of WAAM. In the end, conclusions have been derived from the reviewed research work.
Item Type: | Article |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Engineering |
Publisher: | Elsevier BV |
SWORD Depositor: | A Symplectic |
Date Deposited: | 09 May 2024 12:03 |
Last Modified: | 09 May 2024 12:03 |
DOI or ID number: | 10.1016/j.jmrt.2024.03.170 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/23219 |
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