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.

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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
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article

AI Meets Distributed Manufacturing: Wie KI die Verbreitung digitaler Fertigung fördert

Daniele Ingrassia, Tobias Redlich, Manuel Moritz, J. C. Mariscal-Melgar
2 citations
Zeitschrift für wirtschaftlichen Fabrikbetrieb
Digital Transformation in Industry
0.70
article

AI Meets Distributed Manufacturing: Wie KI die Verbreitung digitaler Fertigung fördert

Daniele Ingrassia, Tobias Redlich, Manuel Moritz, J. C. Mariscal-Melgar
article en
2 citations

Abstract

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.

Zeitschrift für wirtschaftlichen FabrikbetriebVol. 119(10)
Helmut Schmidt University (DE)
Sustainable cities and communities
Openalex Percentile: Top 25%
Digital Transformation in Industry
0.70
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AI Meets Distributed Manufacturing: Wie KI die Verbreitung digitaler Fertigung fördert — Daniele Ingrassia, Tobias Redlich, et al. · Zeitschrift für wirtschaftlichen Fabrikbetrieb (2024) | TGRS Research Map | TGRS