Reference : Demonstration of a prototype design synthesis capability for space access vehicle design
Scientific journals : Article
Engineering, computing & technology : Aerospace & aeronautics engineering
Demonstration of a prototype design synthesis capability for space access vehicle design
Rana, Loveneesh mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Remote Sensing >]
Chudoba, Bernd mailto [University of Texas at Arlington > Mechanical and Aerospace Engineering > Professor]
The Aeronautical Journal
Cambridge University Press
1761 - 1788
Yes (verified by ORBilu)
[en] space access system ; aerospace vehicle design ; synthesis system ; spacecraft design methodology ; lifting re-entry vehicle ; prototype solution
[en] The early conceptual design (CD) phase of space access vehicles (SAVs) is the most abstract, innovative and technologically challenging phase of the entire aerospace design life cycle. Although the design decision-making during this phase influences around 80 percent of the overall life cycle cost, it is the most abstract and thus least understood phase of the entire design life cycle. The history of SAV design provides numerous examples of project failures that could have been avoided if the decision-maker had had the capability to forecast the potential risks and threats correctly ahead of time during the conceptual design phase. The present study addresses this crucial phase and demonstrates a best-practice synthesis methodology prototype to advance the current state of the art of CD as applied to SAV design. Developed by the Aerospace Vehicle Design (AVD) Laboratory at the University of Texas at Arlington (UTA), the Aerospace Vehicle Design Synthesis process and software (AVDS) is a prototype solution for a flight vehicle configuration–flexible (generic) design synthesis capability that can be applied to the primary categories of SAVs. This study focusses on introducing AVDS, followed by the demonstration and verification of the system’s capability through a sizing case study based on the data-rich Boeing X-20 Dyna-Soar spaceplane.
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