Predicted turbine stage performance using quasi-three-dimensional and boundary-layer analyses

Boyle, Robert; Haas, J. E.; Katsanis, T.

doi:10.2514/3.22787

Cited by 10 publications

(1 citation statement)

References 2 publications

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“…The analysis was begun using a quasi-threedimensional inviscid flow analysis coupled to boundary layer analyses to determine turbine performance for smooth blades. This analysis, referred to as MTSB, is described by Boyle, Haas, and Katsanis(1986), and consists of the coupling of two two-dimensional stream function flow analysis codes with a boundary layer analysis to calculate turbine performance. A midchannel hub-to-shroud analysis, Katsanis and McNally(1977), is used to determine the stream tube thickness variation for a series of blade-to-blade analyses, Katsanis(1969), for each blade row.…”

Section: Description Of Analysismentioning

confidence: 99%

Prediction of Surface Roughness and Incidence Effects on Turbine Performance

Boyle

1993

Volume 3B: General

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The use of a Navier-Stokes analysis to predict the change in turbine efficiency resulting from changes in blade surface roughness or incidence flow angles is discussed. The results of a midspan Navier-Stokes analysis are combined with those from a quasi-three-dimensional flow analysis code to predict turbine performance. A quasi-three-dimensional flow analysis code was used to determine turbine performance over a range of incidence flow angles. This analysis was done for a number of incidence loss models. The change in loss due to changes in incidence flows computed from the Navier-Stokes analysis is compared with the results obtained using the empirical loss models. The Navier-Stokes analysis was also used to determine the effects of surface roughness using a mixing length turbulence model, which incorporated the roughness height. The validity of the approach used was verified by comparisons with experimental data for a turbine with both smooth and rough blades tested over a wide range of blade incidence flow angles.

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Section: Description Of Analysismentioning

confidence: 99%