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Development of a Low-Reynolds Number, Nonlinear kappa-epsilon Model for the Reduced Navier-Stokes EquationsPrevious work at NASA LeRC has shown that flow distortions in aircraft engine inlet ducts can be significantly reduced by mounting vortex generators, or small wing sections, on the inside surface of the engine inlet. The placement of the vortex generators is an important factor in obtaining the optimal effect over a wide operating envelope. In this regard, the only alternative to a long and expensive test program which would search out this optimal configuration is a good prediction procedure which could narrow the field of search. Such a procedure has been developed in collaboration with NASA LeRC, and results obtained by NASA personnel indicate that it shows considerable promise for predicting the viscous turbulent flow in engine inlet ducts in the presence of vortex generators. The prediction tool is a computer code which numerically solves the reduced Navier-Stokes equations and so is commonly referred to as RNS3D. Obvious deficiencies in RNS3D have been addressed in previous work. Primarily, it is known that the predictions of the mean velocity field of a turbulent boundary layer flow approaching separation are not in good agreement with data. It was suggested that the use of an algebraic mixing-length turbulence model in RNS3D is at least partly to blame for this. Additionally, the current turbulence model includes an assumption of isotropy which will ultimately fail to capture turbulence-driven secondary flow known to exist in noncircular ducts.
Document ID
19980000061
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Boger, David A.
(Pennsylvania State Univ. University Park, PA United States)
Govindan, T. R.
(Pennsylvania State Univ. University Park, PA United States)
McDonald, Henry
(Pennsylvania State Univ. University Park, PA United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1997
Subject Category
Fluid Mechanics And Heat Transfer
Report/Patent Number
NASA/CR-97-206334
NAS 1.26:206334
Report Number: NASA/CR-97-206334
Report Number: NAS 1.26:206334
Funding Number(s)
CONTRACT_GRANT: NAG3-1781
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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