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Open AccessArticle

The Influence of Printing Orientation on Surface Texture Parameters in Powder Bed Fusion Technology with 316L Steel

Department of Manufacturing Technology and Metrology, Kielce University of Technology, 25-314 Kielc, Poland
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Micromachines 2020, 11(7), 639; https://doi.org/10.3390/mi11070639
Received: 24 May 2020 / Revised: 22 June 2020 / Accepted: 23 June 2020 / Published: 29 June 2020
(This article belongs to the Special Issue 3D Printing of MEMS Technology)
Laser technologies for fast prototyping using metal powder-based materials allow for faster production of prototype constructions actually used in the tooling industry. This paper presents the results of measurements on the surface texture of flat samples and the surface texture of a prototype of a reduced-mass lathe chuck, made with the additive technology—powder bed fusion. The paper presents an analysis of the impact of samples’ orientation on the building platform on the surface geometrical texture parameters (two-dimensional roughness profile parameters (Ra, Rz, Rv, and so on) and spatial parameters (Sa, Sz, and so on). The research results showed that the printing orientation has a very large impact on the quality of the surface texture and that it is possible to set digital models on the building platform (parallel—0° to the building platform plane), allowing for manufacturing models with low roughness parameters. This investigation is especially important for the design and 3D printing of microelectromechanical systems (MEMS) models, where surface texture quality and printable resolution are still a large problem.
Keywords: additive manufacturing technology; powder bed fusion; 3D printing; surface geometrical parameters (SGP); lathe chuck jaws additive manufacturing technology; powder bed fusion; 3D printing; surface geometrical parameters (SGP); lathe chuck jaws
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MDPI and ACS Style

Kozior, T.; Bochnia, J. The Influence of Printing Orientation on Surface Texture Parameters in Powder Bed Fusion Technology with 316L Steel. Micromachines 2020, 11, 639.

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