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- Title
Aluminum Powder Preparation for Additive Manufacturing Using Electrostatic Classification.
- Authors
Shinkaryov, Alexander S.; Cherkasova, Margarita V.; Pelevin, Ivan A.; Ozherelkov, Dmitriy Yu.; Chernyshikhin, Stanislav V.; Kharitonova, Natalia A.; Gromov, Alexander A.; Nalivaiko, Anton Yu.
- Abstract
This work aims to study the possibility of using an electrostatic drum-type separator to prepare a powder with a narrow size distribution curve for usage in additive manufacturing. The size distributions of the uncoated commercial aluminum powders ASP-30, ASP-22, and ASP-5 were analyzed. It was shown that the powders ASP-30 and ASP-22 have similar asymmetric distributions with a SPAN of 1.480 and 1.756, respectively. ASP-5 powder, in turn, has a narrow distribution with a SPAN of 0.869. ASP-30 powder was chosen for further experiment because, traditionally, separators are used to classify large-sized materials with particle size more than 100 μm. The optimal mode of electrostatic classification was proposed for the selected powder. Various classification methods, including centrifugal and electrostatic, were compared. The powders before and after classification were studied by XRD, SEM, TEM, and TG–DSC analyses. The obtained results showed that electrostatic classification does not lead to the formation of coatings on the processed powders. Electrostatic separation effectively narrows the particle size distribution, making it a suitable and valuable method to classify initial powders for additive manufacturing.
- Subjects
ALUMINUM powder; POWDERS; PARTICLE size distribution; ELECTROSTATIC separation; SELECTIVE laser melting; DISTRIBUTION (Probability theory)
- Publication
Coatings (2079-6412), 2021, Vol 11, Issue 6, p629
- ISSN
2079-6412
- Publication type
Article
- DOI
10.3390/coatings11060629