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Aerodynamic Design and Optimization of Fan Stage for Boundary Layer Ingestion Propulsion SystemThe present paper addresses the process of preliminary design of a low-pressure fan and outlet guide vane (OGV) of a boundary layer ingestion (BLI) propulsion system. The tail-cone thruster systems of NASA's STARC_ABL (Single-aisle Turboelectric Aircraft with an Aft Boundary-Layer propulsor) adopts an axi-symmetric BLI type inlet as opposed to other embedded engine systems. Thus, the focus of the present work is placed on maximizing the efficiency of the fan and OGV stages under a significant radial distortion. A parameterization with B-spline function for camber line angles, metal chord, thickness distribution and stacking axis of blades is presented. The flowpath lines are also parameterized by B-spline function and aggregated in the design system of blades. The design optimization with evolutionary algorithm is performed with constraints of fan pressure ratio, OGV exit swirl angle and nozzle exit properties. The inlet conditions for the turbo-machinery CFD (Computational Fluid Dynamics) domain and the design goal of the fan stage are driven by a propulsion airframe integration (PAI) model that uses a 3-D unstructured RANS (Reynolds Average Navier Stokes) solver and actuator disk model. The expected power saving of the BLI propulsor is quantified via PAI analysis and the resulting preliminary design of the fan stages is compared with a clean-inlet flow propulsor.
Document ID
20180005439
Acquisition Source
Glenn Research Center
Document Type
Conference Paper
Authors
Lee, Byung Joon
(Vantage Partners, LLC Cleveland, OH, United States)
Liou, May-Fun
(NASA Glenn Research Center Cleveland, OH, United States)
Date Acquired
September 21, 2018
Publication Date
July 9, 2018
Subject Category
Aircraft Propulsion And Power
Report/Patent Number
ICCFD10-091
GRC-E-DAA-TN58523
Report Number: ICCFD10-091
Report Number: GRC-E-DAA-TN58523
Meeting Information
Meeting: International Conference on Computational Fluid Dynamics (ICCFD 10)
Location: Barcelona
Country: Spain
Start Date: July 9, 2018
End Date: July 13, 2018
Sponsors: Barcelona Supercomputing Center, Oxford Univ.
Funding Number(s)
CONTRACT_GRANT: NNC12BA01B
WBS: WBS 081876.02.03.30.03
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Turbo-machinery
Adjoint method
Design
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