Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction

Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction

JENSCH Felix, EISSING Katharina, WILLIAMS Richard, TRAUTMAN Marcus, YANG Yitong, DUBININ Sergej, FERGANI Omar, HÄRTEL Sebastian

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Abstract. This work deals with the influence of optimised exposure strategies on the distortion and microstructure of components susceptible to overheating and warpage. Therefore, different distortion-prone specimen geometries of 316L were fabricated with the standard parameters, as well as with exposure strategies optimised by machine learning, which were generated using the AMAIZE software package. The manufactured samples were analysed with regard to distortion. The results of the distortion analysis were then linked with the results of the digital tomography from AMAIZE. Furthermore, components were manufactured that tend to overheat due to their geometry and orientation on the substrate plate. The influence of overheating during the LPBF process on the microstructure and porosity was investigated along the build-up direction by means of an EBSD analysis and a porosity analysis. With the presented approach for optimising the exposure strategy with AMAIZE, it could be shown that a successful production of distortion-prone components with a porosity of less than 1 % is possible in the first trial.

LPBF-Process, Machine Learning, Microstructural Investigation

Published online 4/24/2024, 10 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: JENSCH Felix, EISSING Katharina, WILLIAMS Richard, TRAUTMAN Marcus, YANG Yitong, DUBININ Sergej, FERGANI Omar, HÄRTEL Sebastian, Improving the structural integrity of challenging to manufacture LPBF components with toolpath correction, Materials Research Proceedings, Vol. 41, pp 110-119, 2024


The article was published as article 12 of the book Material Forming

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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