Version 1
: Received: 8 March 2023 / Approved: 9 March 2023 / Online: 9 March 2023 (09:49:34 CET)
Version 2
: Received: 14 March 2023 / Approved: 15 March 2023 / Online: 15 March 2023 (01:57:29 CET)
How to cite:
Buchenau, T.; Thompson, A.; Bruening, H.; Amkreutz, M.; Mayer, B.; Piano, S. Surface Features of As-built Metal Additive AlSi7Mg0.6. Preprints2023, 2023030174. https://doi.org/10.20944/preprints202303.0174.v1
Buchenau, T.; Thompson, A.; Bruening, H.; Amkreutz, M.; Mayer, B.; Piano, S. Surface Features of As-built Metal Additive AlSi7Mg0.6. Preprints 2023, 2023030174. https://doi.org/10.20944/preprints202303.0174.v1
Buchenau, T.; Thompson, A.; Bruening, H.; Amkreutz, M.; Mayer, B.; Piano, S. Surface Features of As-built Metal Additive AlSi7Mg0.6. Preprints2023, 2023030174. https://doi.org/10.20944/preprints202303.0174.v1
APA Style
Buchenau, T., Thompson, A., Bruening, H., Amkreutz, M., Mayer, B., & Piano, S. (2023). Surface Features of As-built Metal Additive AlSi7Mg0.6. Preprints. https://doi.org/10.20944/preprints202303.0174.v1
Chicago/Turabian Style
Buchenau, T., Bernd Mayer and Samanta Piano. 2023 "Surface Features of As-built Metal Additive AlSi7Mg0.6" Preprints. https://doi.org/10.20944/preprints202303.0174.v1
Abstract
Additive manufacturing (AM) technologies show potential for the development of functionally integrated lightweight designs, biomimetic structures and material savings. Typically, as-built surfaces show powder particle agglomerations and re-entrant features, leading to rough surfaces, which are associated with poor fatigue performance. To benefit from the full range of advantages with special focus on aerospace applications, critical features for crack initiation when subjected to fatigue loading need to be identified and mitigated. A first step toward achieving this goal is the surface texture characterisation based on the quantification of surface features. In this paper, selected areal height, functional and feature parameters from ISO 25178-2:2022 are generated and process-specific features are examined for as-built AlSi7Mg0.6 from laser powder bed fusion (PBF-LB). A connection with the particle size distribution of the used powder is demonstrated. It is shown that surface feature analysis opens up opportunities to use physically meaningful surface characteristics in future quality assurance and part qualification processes.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
