Integrated approach to Wire Arc Additive Manufacturing (WAAM) optimization: Harnessing the synergy of process parameters and deposition strategies

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...

詳細記述

書誌詳細
出版年:Journal of Materials Research and Technology
第一著者: Mohd Mansor M.S.; Raja S.; Yusof F.; Muhamad M.R.; Manurung Y.H.; Adenan M.S.; Hussein N.I.S.; Ren J.
フォーマット: 論文
言語:English
出版事項: Elsevier Editora Ltda 2024
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189668193&doi=10.1016%2fj.jmrt.2024.03.170&partnerID=40&md5=54820ea9fe4f1db0d7eb7859f217cb7e
その他の書誌記述
要約: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. © 2024 The Authors
ISSN:22387854
DOI:10.1016/j.jmrt.2024.03.170