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- W4387144576 abstract "Abstract Even at the preliminary level, Multidisciplinary Design Optimization (MDO) of a novel aircraft concept is a challenging prospect. There, the interaction between airframe design and propulsion design tasks is particularly strong and can simultaneously be a weak link if not dealt with adequately. In the case of civil aviation, the constraints around sharing of data and tools (i.e., Intellectual Property) across organizational boundaries usually preclude an effective communication between the airframer and propulsor supplier. As such, the design of the airframe and propulsion system are usually done in isolation with occasional transfers of limited amounts of data, often leading to suboptimal results due to sequential subsystem optimization having effectively taken place rather than an overall and fully integrated system optimization. In the present work, the Simulation Process and Data Management (SPDM) paradigm is employed to explore the benefits of automated encapsulation, transfer and ultimately storage of data during the design exploration process of an aircraft concept while ensuring compatibility of attributes between airframe design and engine design disciplines at each iteration, i.e. fully converged airframe-propulsor iterates, where the propulsion system provides exactly the thrust the airframe requires and the design of the latter is fully aware of the performance of the engine in the flight envelope it is being required to operate within." @default.
- W4387144576 created "2023-09-29" @default.
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- W4387144576 date "2023-06-26" @default.
- W4387144576 modified "2023-10-18" @default.
- W4387144576 title "Cross Boundary Design Optimization Using Simulation Process and Data Management" @default.
- W4387144576 doi "https://doi.org/10.1115/gt2023-103103" @default.
- W4387144576 hasPublicationYear "2023" @default.
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