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AI-assisted process monitoring and control approaches for AM – state-of-the-art and challenges in industrial application
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development. Fraunhofer Institute for Material and Beam Technology, Dresden, 01277, Germany.ORCID iD: 0000-0003-4373-3848
University of Porto, Porto, Portugal.
Fraunhofer Institute for Material and Beam Technology, Dresden, 01277, Germany.
Fraunhofer Institute for Material and Beam Technology, Dresden, 01277, Germany.
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2025 (English)In: Laser 3D Manufacturing XII / [ed] Bo Gu; Hongqiang Chen; Henry Helvajian, SPIE - The International Society for Optics and Photonics, 2025, article id 1335406Conference paper, Published paper (Refereed)
Abstract [en]

Laser-based Directed Energy Deposition (DED) is an industrially established AM process that is used for a variety of different contours, surfaces, repair and redesign purposes as well as the construction of complete components. The challenge here is that components become more and more complex, larger and therefore more difficult to build. This means that sometimes lengthy processes have to be carried out in a very robust, reproducible and cost-effective manner. In contrast to conventional production technology, numerous dynamic process influences and weld pool phenomena have a decisive influence on the resulting welding result in DED. Precise attention must therefore be paid to exact temperature-time curves, suitable path planning and solidification conditions in order to achieve a tightly toleranced contour accuracy of the resulting component and to obtain defect-free results. During this lecture, different monitoring and control approaches will be presented in order to come closer to the aforementioned goal. In addition to a variety of sensors and customized process tools, this can also be supported by the use of AI-based methods.

Place, publisher, year, edition, pages
SPIE - The International Society for Optics and Photonics, 2025. article id 1335406
Series
Proceedings of SPIE, ISSN 0277-786X ; 13354
Keywords [en]
Directed Energy Deposition DED, process control, process monitoring, artificial intelligence AI, additive manufacturing, laser cladding, in-situ sensors, large parts
National Category
Manufacturing, Surface and Joining Technology
Research subject
Manufacturing Systems Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-112527DOI: 10.1117/12.3046201Scopus ID: 2-s2.0-105002587897OAI: oai:DiVA.org:ltu-112527DiVA, id: diva2:1954650
Conference
Laser 3D Manufacturing XII, San Francisco, United States, January 28–30, 2025
Note

ISBN for host publication: 9781510684560 (print), 9781510684577 (electronic);

Available from: 2025-04-25 Created: 2025-04-25 Last updated: 2025-10-21Bibliographically approved

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Brueckner, Frank

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