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Table 4.1 Rotor 1-B Evaluation of Minimum-Loss Incidence Prediction % Speeds Experiment NASA SP-36 (deg) (deg) Hearsey (deg) 100 5.04 12.02 4.69 90 5.27 12.02 4.61 70 6.03 50 8.7 Mean Error 7.97 5.42 4.02 4.68 5.09 1.41 For Rotor 1-B minimum-loss incidence, the Hearsey model clearly provided a better prediction than the Lieblein correlation. For rotor speeds of 100%, 90%, and 70%, the Hearsey model predicted values well within 1° of the data which was experimentally measured and converted to the relative frame of reference. These results were extremely accurate considering that the probe in Stage 35 could measure flow angles to an accuracy of ±1°. For Rotor 1-B, the correlation in NASA SP-36 displayed almost four times the mean error than did the Hearsey model. The next important parameter which required prediction was the minimum-loss deviation. This parameter was necessary for predicting off-minimum-loss deviation, and some minimum-loss correlations required this information as well. Table 4.2 shows the results of Hearsey model, two different uses of the Carter correlations, and modifications of these correlations which were performed by Cetin. The difference between the two Carter correlations is that one is a function of the exit blade metal angle and the other is a function of blade stagger angle. These two blade parameters are related and their relationship varies according to blade shape. 36PDF Image | Gas Turbine Design Axial Flow Compressors
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