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Automated Tool‐Path Generation for Rapid Manufacturing of Additive Manufacturing Directed Energy Deposition Geometries

: Biegler, Max; Wang, Jiahan; Kaiser, Lukas; Rethmeier, Michael

Volltext urn:nbn:de:0011-n-5966514 (3.4 MByte PDF)
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Erstellt am: 26.1.2021

Steel research international 91 (2020), Nr.11, Art. 2000017, 8 S.
ISSN: 1611-3683
ISSN: 0177-4832
ISSN: 1869-344X
European Steel Technology and Application Days (ESTAD) <4, 2019, Düsseldorf>
Forschungsverteinigung Stahlanwendung FOSTA
IGF; 18737N; Schweißverzugsimulation
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPK ()
additive manufacturing; laser metal deposition; mechanical property; path planning; porosity

In additive manufacturing (AM) directed energy deposition (DED), parts are built by welding layers of powder or wire feedstock onto a substrate with applications for steel powders in the fields of forging tools, spare parts, and structural components for various industries. For large and bulky parts, the choice of tool‐paths influences the build rate, the mechanical performance, and the distortions in a highly geometry‐dependent manner. With weld‐path lengths in the range of hundreds of meters, a reliable, automated tool‐path generation is essential for the usability of DED processes. This contribution presents automated tool‐path generation approaches and discusses the results for arbitrary geometries. So‐called "zig‐zag" and "contour‐parallel" processing strategies are investigated and the tool‐paths are automatically formatted into machine‐readable g‐code for experimental validation to build sample geometries. The results are discussed in regard to volume‐fill, microstructure, and porosity in dependence of the path planning according to photographs and metallographic cross‐sections.