2018 Aviation Technology, Integration, and Operations Conference 2018
DOI: 10.2514/6.2018-3976
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Aero-propulsive Design Optimization of a Turboelectric Boundary Layer Ingestion Propulsion System

Abstract: Boundary layer ingestion is a coupled aeropropulsive technology that offers the potential for significant improvements to aircraft vehicle performance. NASA's STARC-ABL aircraft configuration is particularly interesting because it leverages boundary layer ingestion with a mostly traditional fuselage. However the design of of STARC-ABL's propulsion systems poses a challenge because the tightly coupled aeropropulsive system is not well handled by traditional uncoupled design methods. To address this we developed… Show more

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Cited by 27 publications
(18 citation statements)
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References 32 publications
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“…The 2D aerodynamic analysis used here does not accurately capture inlet distortion, so the impact of distortion is not modelled in this work. Ongoing work with 3D aerodynamic models will account for this impact (30) .…”
Section: Propulsion Modelmentioning
confidence: 99%
“…The 2D aerodynamic analysis used here does not accurately capture inlet distortion, so the impact of distortion is not modelled in this work. Ongoing work with 3D aerodynamic models will account for this impact (30) .…”
Section: Propulsion Modelmentioning
confidence: 99%
“…Drag and thrust were calculated as net forces integrated over aircraft and propulsion system surfaces, respectively. The overall net force in axial direction was determined as the sum of the integrated pressure and viscous forces over all body surfaces and the pressure and momentum flux contributions on the fan face and fan exit [65][66][67][68]. In a similar manner, Ordaz et al carried out an adjoint-based numerical design and optimization of BLI concepts (NASA STARC-ABL and MTA450-business jet with aft fan) with the objective of minimized flow distortion at the propulsor [69,70].…”
Section: Integral Momentum Methodsmentioning
confidence: 99%
“…pyCycle uses chemical equilibrium analysis [20] for its underlying thermodynamic library and uses a system of nested Newton solvers to converge complex engine cycles efficiently. pyCycle has been used for propulsion-mission optimization [21] and boundary layer ingestion studies [22,23,13].…”
Section: B Pycyclementioning
confidence: 99%