2021
DOI: 10.1149/1945-7111/ac429a
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Surface Flattening of Directed Energy Deposited Parts through Jet Electrochemical Machining

Abstract: For additive manufacturing (AM) processes, post-processing is usually needed before application, and electrochemical machining is considered a promising candidate for this purpose. Here, the possibility of using jet electrochemical machining (Jet-ECM) as a semi-finishing post-processing for directed energy deposition (DED) was investigated. The main purpose is to flatten the wave-like surface and improve dimensional accuracy. First, polarization, EIS, and current efficiency measurements were conducted, and it … Show more

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Cited by 5 publications
(3 citation statements)
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References 36 publications
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“…Debris analysis indicated erosive removal mechanisms, where individual unfused powder particles were detached and washed away in additional to corrosive electrochemical removal. Wang and Qu applied EJM as an anodic levelling process to finish DED manufactured Inconel 718 surfaces, which often exhibit relatively large scale waviness [208]. In this study, a small IEG and high potential were determined benefit levelling (Fig.…”
Section: Additive Manufacturing: Finishing and Fabricationmentioning
confidence: 99%
See 2 more Smart Citations
“…Debris analysis indicated erosive removal mechanisms, where individual unfused powder particles were detached and washed away in additional to corrosive electrochemical removal. Wang and Qu applied EJM as an anodic levelling process to finish DED manufactured Inconel 718 surfaces, which often exhibit relatively large scale waviness [208]. In this study, a small IEG and high potential were determined benefit levelling (Fig.…”
Section: Additive Manufacturing: Finishing and Fabricationmentioning
confidence: 99%
“…An approach like this would require a high degree of control over electrolyte filtration and circulation. [207], (c) taken from [208], (d) taken from [65], (e-f) taken from [176].…”
Section: Additive Manufacturing: Finishing and Fabricationmentioning
confidence: 99%
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