35th Congress of the International Council of the Aeronautical Sciences

01.1 - Aircraft Design and Integrated Systems (Theory, Methods and Tools)

AGENTIC AI FOR AIRCRAFT PRELIMINARY DESIGN: PROOF OF CONCEPT

A. Kirste¹, L. Faltum¹, E. Stumpf¹; ¹Institute of Aerospace Systems, RWTH Aachen University, Germany

Agentic AI enables autonomous code generation and iterative reasoning for complex engineering tasks. This work presents the first proof of concept for agentic AI in aircraft preliminary design. Multiple AI platforms are benchmarked against aircraft-specific metrics using an A320-class reference. Results establish baseline capabilities for AI-assisted design workflows and integration with UNICADO.


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DOI: 10.71945/icas2026_0575