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- TitleCAD-as-Code and agentic AI for function-aware engineering design / Elias Berger, Jan Mehlstäubl, Bernhard Saske, Kristin Paetzold-Byhain
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- Description1 Online-Ressource (Seite 129-138) : Diagramme, Illustrationen
- LanguageEnglish
- Document TypesScientific Article (Published Electronically)
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Abstract
Mechanical Computer-Aided Design (CAD) remains a challenge in product development and engineering design due to steep learning curves. Hence, large language models (LLM) gain popularity to generate parametric geometry programmatically (CAD-as-Code). This paper examines CAD-as-Code as a methodological paradigm with implications for engineering design practice. We present a hybrid agentic framework, that uses CAD-as-Code with physics-in-the-loop and human validation to generate structurally sound designs. We prove our concept by generating physically valid designs based on load bearing requirements. Finally, we derive implications for engineering design practice from our prototype observations.
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