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Multipoint Variable Cycle Engine Design Using Gradient-based OptimizationSupersonic aircraft are challenging to optimally design due to the widely varying constraints and flight conditions they experience. Additionally, a large number of disciplinary subsystems must be considered due to highly complex design requirements. One subsystem that has a major effect on overall performance is the engine. In this work, we construct a supersonic mixed-flow variable cycle engine and perform multipoint gradient-based optimization using this model. We see that the operational variables allow the optimizer to tailor performance at each individual flight condition, leading to better overall performance. To simulate airframe integration constraints, we run successive optimizations with increasingly restrictive inlet areas and see decreases in engine performance. This work is part of a larger effort to incorporate engine design into aero-thermal-mission optimization of a supersonic aircraft.
Document ID
20190004944
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
External Source(s)
Authors
Jasa, John P. ORCID
(Michigan Univ. Ann Arbor, MI, United States)
Gray, Justin S.
(NASA Glenn Research Center Cleveland, OH, United States)
Seidel, Jonathan A.
(NASA Glenn Research Center Cleveland, OH, United States)
Mader, Charles A. ORCID
(Michigan Univ. Ann Arbor, MI, United States)
Martins, Joaquim R. R. A. ORCID
(Michigan Univ. Ann Arbor, MI, United States)
Date Acquired
May 2, 2019
Publication Date
January 7, 2019
Subject Category
Aircraft Design, Testing And Performance
Report/Patent Number
GRC-E-DAA-TN63727
AIAA 2019-0172
Meeting Information
Meeting: AIAA SciTech Forum 2019
Location: San Diego, CA
Country: United States
Start Date: January 7, 2019
End Date: January 11, 2019
Sponsors: American Institute of Aeronautics and Astronautics (AIAA)
Funding Number(s)
CONTRACT_GRANT: SPEC5732
WBS: 109492.02.03.01.10.01
CONTRACT_GRANT: 80NSSC18M0151
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
Cycle analysis
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