AI Meets Distributed Manufacturing: Wie KI die Verbreitung digitaler Fertigung fördert
Abstract Digital Fabrication Involves Technologies for Planning, Controlling, and Producing Physical Products. These often use computer-controlled machines like 3D printers and CNC machines. The accessibility of these technologies is increasing, even for non-experts. This leads to widespread use and democratisation of manufacturing technologies, which can support distributed urban production. We present recent developments of an AI-supported laser cutter based on Open Source Hardware (OSH). Our approach integrates machine learning methods, including diffusion-based image generation and Large Language Models. This enables seamless integration of CAD-CAM systems. By combining hands-on learning with OSH machines and digital tools, we ensure a better understanding of the manufacturing workflow. We demonstrate the capability, accessibility, and potential of our approach using OSH machines. This can significantly influence future developments in digital fabrication.
Authors
- Daniele Ingrassia
- Tobias Redlich (ORCID: https://orcid.org/0000-0003-4129-8926)
- Manuel Moritz (ORCID: https://orcid.org/0000-0001-5126-9016)
- J. C. Mariscal-Melgar (ORCID: https://orcid.org/0000-0002-2562-0316)
Institutions
- Helmut Schmidt University (DE)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2024-10-20
- DOI
- https://doi.org/10.1515/zwf-2024-1144
- Citations
- 2
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.70