Aluminum Powder Preparation for Additive Manufacturing Using Electrostatic Classification

• Main Authors: Alexander S. Shinkaryov, Margarita V. Cherkasova, Ivan A. Pelevin, Dmitriy Yu. Ozherelkov, Stanislav V. Chernyshikhin, Natalia A. Kharitonova, Alexander A. Gromov, Anton Yu. Nalivaiko
• Format: Article
• Language: English
• Published: MDPI AG 2021-05-01
• Series: Coatings
• Subjects: aluminum powder; electrostatic classification; alumina; coating; oxide layer; additive manufacturing
• Online Access: https://www.mdpi.com/2079-6412/11/6/629

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.