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http://dx.doi.org/10.18419/opus-12448
Autor(en): | Jarwitz, Michael Traunecker, David Arnim, Christian von Müller, Niklas Kramer, Steffen |
Titel: | Towards a universal manufacturing node: requirements for a versatile, laser-based machine tool for highly adaptable manufacturing |
Erscheinungsdatum: | 2022 |
Dokumentart: | Konferenzbeitrag |
Konferenz: | CIRP Conference on Photonic Technologies (12th, 2022, Fürth) |
Seiten: | 816-821 |
Erschienen in: | Procedia CIRP 111 (2022), S. 816-821 |
URI: | http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-124672 http://elib.uni-stuttgart.de/handle/11682/12467 http://dx.doi.org/10.18419/opus-12448 |
ISSN: | 2212-8271 |
Bemerkungen: | The presented work was funded by the Ministry of Science, Research and the Arts of the Federal State of Baden-Wuerttemberg within the “InnovationCampus Future Mobility”, which is gratefully acknowledged. |
Zusammenfassung: | The current trend in the context of Industry 4.0 towards small batch sizes and increasing product variety results in ever-changing requirements for both, the products and the production. This requires highly versatile, fully and easily adaptable, and efficient manufacturing environments that can meet these demands, ideally already on the level of the machine tool. Because of its versatility, the laser is a promising tool for such a machine tool, but there is still a considerable need for research in the field of system technology. We consider the requirements for a versatile, laser-based machine tool for highly adaptable manufacturing, that utilizes the combination of laser-based manufacturing processes on one machine. The focus of the considerations lies on remote processes and the processing of metals. Five key research topics for the development of such a universal laser manufacturing node are identified: highly dynamic and precise kinematics (1); ‘on-the-fly’ reconfigurable, distributed control architectures (2); adaptable process diagnostics for online quality monitoring (3); technological interactions in laser-based process chains (4); and models for a fast estimation of the process parameters for each production step (5). The relevance and current needs for research for each topic are discussed and corresponding solution concepts are proposed. |
Enthalten in den Sammlungen: | 07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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Jarwitz2022.pdf | 572,22 kB | Adobe PDF | Öffnen/Anzeigen |
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