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Systems architecting assistant (SArA) : enabling a seamless process chain from requirements to overall systems design
Publikationstyp
Conference Paper
Date Issued
2022-09
Sprache
English
Institut
Start Page
1723
End Page
1743
Article Number
ICAS2022_0665
Citation
33rd Congress of the International Council of the Aeronautical Sciences (ICAS 2022): art. no. ICAS2022_0665 i.e. Pages 1723 - 1743 (2022)
Contribution to Conference
Scopus ID
Publisher
ICAS
Peer Reviewed
false
The path towards climate neutral aviation necessitates the development of novel aircraft concepts with disruptive technological solutions on board. The integration of such innovative technology concepts, such as hydrogen-based propulsion, has major effects on the aircraft's overall systems architecture. These integration-related effects are investigated in the scope of technology concept studies for which suitable systems architecture variants need to be created and evaluated beforehand. The knowledge-based systems architecting methodology~\textit{SArA} is proposed to ensure a seamless process chain during aircraft conceptual design starting with the definition of top-level aircraft requirements and ending with the execution of technology concept studies on overall systems design level. Different approaches for analyzing a given design problem within~\textit{SArA} are discussed: a top-level requirements-based approach, a system-level-based approach considering the individual systems, and a complementary functions-based approach. Moreover, an exploration of the architectural design space is integrated, and architecture variants are created and evaluated by employing a knowledge-based approach.~\textit{SArA} is then applied by exploring the design space of the electric power supply system for a hydrogen-powered concept aircraft, considering four different architecture variants. To this end, central and distributed layouts as well as different voltage specifications are discussed. The four architectures variants are evaluated based on criteria like complexity and risk.
DDC Class
600: Technik
620: Ingenieurwissenschaften