Research and engineering by REC “Mechanobr-technika” of additive technologies

Cherkasova, Margarita; Samukov, A. D.; Дмитриев, С. В.; Mezenin, A. O.

doi:10.1088/1742-6596/1721/1/012025

Cited by 1 publication

(1 citation statement)

References 10 publications

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“…According to the operation principle of separator devices [30,31], the material is fed from the feed hopper to the vibrating feeder tray providing powder supply for preliminary separation of conglomerates from adhered fine particles. From the tray of the vibrating feeder, material enters the surface of the rotating drum (collecting electrode), which is carried to the corona discharge zone.…”

Section: Methodsmentioning

confidence: 99%

Aluminum Powder Preparation for Additive Manufacturing Using Electrostatic Classification

Shinkaryov

Cherkasova²,

Pelevin

et al. 2021

Coatings

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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.

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Section: Methodsmentioning

confidence: 99%