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  4. Ready for Take-off - Artificial Intelligence in Space Production
 
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July 9, 2024
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Ready for Take-off - Artificial Intelligence in Space Production

Title Supplement
White Paper
Abstract
This whitepaper explores the potential and challenges of applying Artificial Intelligence (AI) in the production of aerospace components. Through various research activities at Fraunhofer IPT, six promising application fields for AI use have been identified: predictive quality in the manufacturing of complex parts, predictive maintenance for critical machines, automated evaluation of test processes, support for documentation tasks through generative language models, creation of digital twins, and adaptive process monitoring for specialized manufacturing procedures.
The implementation of AI in aerospace production is hindered by limited data availability and complex qualification processes. The whitepaper presents a systematic approach that includes the identification, evaluation, prioritization, and piloting of use cases. The goal is to develop the necessary capabilities within the company to independently carry out future AI projects and maximize their benefits.
The findings emphasize the need for a strategic and methodical approach to integrating AI into aerospace production to achieve efficiency gains and increase competitiveness.
Author(s)
Schuh, Günther  
Fraunhofer-Institut für Produktionstechnologie IPT  
Schmitt, Robert H.  
Fraunhofer-Institut für Produktionstechnologie IPT  
Cassel, Leonard
Fraunhofer-Institut für Produktionstechnologie IPT  
Schenk, Leonard  
Fraunhofer-Institut für Produktionstechnologie IPT  
Motz, Maximilian
Fraunhofer-Institut für Produktionstechnologie IPT  
Project(s)
Entwicklung eines smarten Produktionskonzeptes  
Funder
Bundesministerium für Wirtschaft und Energie -BMWK-
DOI
10.24406/publica-2984
File(s)
Full text.pdf (1.23 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Produktionstechnologie IPT  
Keyword(s)
  • Artificial intelligence

  • Aerospace

  • Launcher

  • Machine learning

  • Space

  • Production

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