Robust in-line qualification of lattice structures manufactured via laser powder bed fusion
Bianca Maria Colosimo, Marco Grasso, Federica Garghetti, Luca Pagani
download PDFAbstract. The shape complexity enabled by AM would impose new part inspection systems (e.g., x-ray computed tomography), which translate into qualification time and costs that may be not affordable. However, the layerwise nature of the process potentially allows anticipating qualification tasks in-line and in-process, leading to a quick detection of defects since their onset stage. This opportunity is particularly attractive in the presence of lattice structures, whose industrial adoption has considerably increased thanks to AM. This paper presents a novel methodology to model the quality of lattice structures at unit cell level while the part is being built, using high resolutions images of the powder bed for in-line geometry reconstruction and identification of deviations from the nominal shape. The methodology is designed to translate complex 3D shapes into 1D deviation profiles that capture the “geometrical signature” of the cell together with the reconstruction uncertainty.
Keywords
Additive Manufacturing, Quality Modelling, Profile Monitoring, Lattice, In-Situ Sensing
Published online 9/5/2023, 9 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Bianca Maria Colosimo, Marco Grasso, Federica Garghetti, Luca Pagani, Robust in-line qualification of lattice structures manufactured via laser powder bed fusion, Materials Research Proceedings, Vol. 35, pp 232-240, 2023
DOI: https://doi.org/10.21741/9781644902714-28
The article was published as article 28 of the book Italian Manufacturing Association Conference
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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