Abstract
For various technical reasons, no fully reusable launch vehicle has ever been successfully constructed or operated. Nonetheless, a range of reusable hypersonic vehicles is currently being considered as a viable alternative to the expensive but more conventional expendable rocket systems that are currently being used to gain access to space. This paper presents a methodology that has been developed for the rapid and efficient preliminary design of such vehicles. The methodology that is presented uses multi-disciplinary design optimization
coupled with an integrated set of reduced-order models to estimate the characteristics of the vehicle's aero-thermodynamic, propulsion, thermal protection and internal system architecture, as well as to estimate its overall mass. In the present work, the methodology has been applied to the multi-disciplinary modelling and optimization of a reusable hybrid rocket- and ramjet-powered launch vehicle during both the ascent and re-entry phases of its mission.
coupled with an integrated set of reduced-order models to estimate the characteristics of the vehicle's aero-thermodynamic, propulsion, thermal protection and internal system architecture, as well as to estimate its overall mass. In the present work, the methodology has been applied to the multi-disciplinary modelling and optimization of a reusable hybrid rocket- and ramjet-powered launch vehicle during both the ascent and re-entry phases of its mission.
Original language | English |
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Number of pages | 28 |
Publication status | Published - 16 Jun 2014 |
Event | 19TH AIAA International Space Planes and Hypersonic Systems and Technologies Conference - Hyatt Regency Atlanta, Atlanta, Georgia, United States Duration: 16 Jun 2014 → 20 Jun 2014 |
Conference
Conference | 19TH AIAA International Space Planes and Hypersonic Systems and Technologies Conference |
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Country/Territory | United States |
City | Atlanta, Georgia |
Period | 16/06/14 → 20/06/14 |
Keywords
- robust design optimisation
- reusable launch vehicle
- aerothermodynamic design
- modelling and simulation