Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory
Paper
Mackle, Kieran, Lock, Andrew, Jahn, Ingo and van der Heide, Chris. 2024. "Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory." AIAA SciTech Forum 2024. Orlando, FL, United States 08 - 12 Jan 2024 United States. https://doi.org/10.2514/6.2024-0238
| Paper/Presentation Title | Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory |
|---|---|
| Presentation Type | Paper |
| Authors | Mackle, Kieran, Lock, Andrew, Jahn, Ingo and van der Heide, Chris |
| Year | 2024 |
| Place of Publication | United States |
| ISBN | 9781624107115 |
| Digital Object Identifier (DOI) | https://doi.org/10.2514/6.2024-0238 |
| Web Address (URL) of Paper | https://arc.aiaa.org/doi/10.2514/6.2024-0238 |
| Web Address (URL) of Conference Proceedings | https://arc.aiaa.org/doi/book/10.2514/MSCITECH24 |
| Conference/Event | AIAA SciTech Forum 2024 |
| Event Details | AIAA SciTech Forum 2024 Event Date 08 to end of 12 Jan 2024 Event Location Orlando, FL, United States |
| Abstract | The extreme conditions at which hypersonic vehicles are required to operate necessitate a novel method of design, capable of producing vehicles that can perform across their entire mission trajectory. Traditional methods of design using trade studies of design parameters are incapable of capturing complex and non-linear subsystem interactions, which dominate hypersonic flight vehicles. Further challenges arise from the many competing design requirements, including packaging constraints, aerodynamic requirements, and flight path objectives. While traditional multi-objective design optimization methods attempt to address these challenges, they fail to account for the entirety of a mission’s flight trajectory, and how the design parameters impact the objective at a system-level. This paper presents a novel and computationally tractable approach to co-design a vehicle’s geometry and flight trajectory simultaneously, in order to obtain an optimal vehicle shape and flight path for a specified mission objective. That is, the vehicle shape is and trajectory are optimized in the same phase to obtain a the highest performing system solution in regards mission-level objectives. Importantly, the computational cost of the proposed method scales favourably with the number of vehicle design parameters, and is designed to reduce the number of computational fluid dynamic simulations. The approach is demonstrated by optimizing a hypersonic glider (waverider) parametrically defined using 16 variables to attain maximum range while also obeying an internal volume constraint. The optimal vehicle configuration obtained through the proposed co-designed framework exhibits an 11.6 % improvement over the nominal configuration. |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 400106. Hypersonic propulsion and hypersonic aerothermodynamics |
| Public Notes | There are no files associated with this item. |
| Byline Affiliations | University of Queensland |
| University of Southern Queensland | |
| University of Melbourne |
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https://research.usq.edu.au/item/z8618/developing-a-co-design-framework-for-hypersonic-vehicle-aerodynamics-and-trajectory
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