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Gas Turbine Design Axial Flow Compressors

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Gas Turbine Design Axial Flow Compressors ( gas-turbine-design-axial-flow-compressors )

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Chapter 5.0 Conclusions and Recommendations for Future Work The prediction of minimum-loss incidence is a key factor in calculating loss and deviation points for all correlations, as any error in this incidence will propagate itself through the remaining loss and deviation predictions. Therefore, it is critical that predictions of the minimum-loss incidence be highly accurate. In the area of minimum-loss prediction there was no single method that could be considered universally applicable. The Koch and Smith model is considered the best design-loss point predictor for a transonic rotor (Cetin, 1987 and Konnig, Part I, 1996). While the author agrees that the Koch and Smith loss model is the most comprehensive and theoretically sound loss model reviewed, it performed poorly in the minimum-loss prediction for Stage 35 (see Tables 4.7 and 4.11). A new method was created in order to qualitatively evaluate off-minimum-loss correlations. Translating the off-minimum-loss curves onto the experimental minimum- loss point effectively isolates the off-minimum-loss predictions and eliminates errors which may be included in minimum-loss predictions. The Bloch shock loss model displayed promise as a good qualitative predictor for total loss in the stall regime for supersonic inlet relative Mach numbers (see Figures 4.4, 4.5, 4.12, and 4.13). This suggested that profile loss is relatively constant in the supersonic stall regime as claimed by Bloch and Schreiber. However, the Bloch model quantitatively over-predicted shock loss. This can be stated with confidence because at times the Bloch model gave shock losses greater than the total loss through the blade as measured in the experiments. None of the correlations tested provided accurate predictions in the choke regime of Rotor 1-B for 90% and 100% speeds. More research, both experimental, analytical, and computational, must be done in order to improve understanding of the difference in 63

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