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316L Stainless steel powders for additive manufacturing: relationships of powder rheology, size, size distribution to part properties

Groarke, Robert, Danilenkoff, Cyril, Karam, Sara ORCID: 0000-0002-8516-0673, McCarthy, Éanna, Michel, Bastien ORCID: 0000-0002-6117-2549, Mussatto, Andre ORCID: 0000-0001-5335-7968, Sloane, John, O'Neill, Aidan, Raghavendra, Ramesh ORCID: 0000-0002-5999-456X and Brabazon, Dermot ORCID: 0000-0003-3214-6381 (2020) 316L Stainless steel powders for additive manufacturing: relationships of powder rheology, size, size distribution to part properties. Materials, 13 (23). pp. 1-19. ISSN 1996-1944

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Abstract

Laser-Powder Bed Fusion (L-PBF) of metallic parts is a highly multivariate process. An understanding of powder feedstock properties is critical to ensure part quality. In this paper, a detailed examination of two commercial stainless steel 316L powders produced using the gas atomization process is presented. In particular, the effects of the powder properties (particle size and shape) on the powder rheology were examined. The results presented suggest that the powder properties strongly influence the powder rheology and are important factors in the selection of suitable powder for use in an additive manufacturing (AM) process. Both of the powders exhibited a strong correlation between the particle size and shape parameters and the powder rheology. Optical microscope images of melt pools of parts printed using the powders in an L-PBF machine are presented, which demonstrated further the significance of the powder morphology parameters on resulting part microstructures.

Item Type:Article (Published)
Refereed:Yes
Additional Information:This article belongs to the Special Issue Advanced Technology for Materials Synthesis and Processing - Series II)
Uncontrolled Keywords:metal additive manufacturing; powder bed fusion; powder rheology; microstructure; Stainless Steel 316L
Subjects:Engineering > Materials
Physical Sciences > Lasers
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
Research Initiatives and Centres > Advanced Processing Technology Research Centre (APTRC)
Research Initiatives and Centres > I-Form
Publisher:MDPI
Official URL:http://dx.doi.org/10.3390/ma13235537
Copyright Information:© 2020 The Authors CC-BY-4.0
Funders:Enterprise Ireland Innovation Partnership Programme, grant award number IP/2016/00422A, Science Foundation Ireland (SFI) under grant number 16/RC/3872, European Regional Development Fund, I-Form industry partners
ID Code:25324
Deposited On:07 Jan 2021 11:40 by Robert Groarke . Last Modified 27 May 2022 13:12

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