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Handbook of Turbomachinery Second Edition Revised - Ventech!

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Optimization Problem<br />

For the design optimization problem considered, a wide range <strong>of</strong> design<br />

objectives can be addressed even with the coupling between two disciplines.<br />

In the results described below, the average and maximum temperatures at<br />

each spanwise section are used as objective functions. The trailing-edge<br />

thickness is held constant during the optimization, and the ratio <strong>of</strong><br />

maximum thickness to chord for each section is constrained to within 10%<br />

<strong>of</strong> the reference value, which results in better aerodynamic characteristics for<br />

the blade.<br />

The results discussed below are for a simplified optimization problem<br />

involving two design objectives per section since the main purpose here is<br />

the demonstration <strong>of</strong> the optimization procedure. The two objectives are<br />

minimum average temperature and minimum peak temperatures in each<br />

blade section. A more detailed optimization problem with more design<br />

objectives is given in Ref. [17]. The constraints are<br />

Where<br />

ttr4ttr ref<br />

ttr5ttr ref<br />

tmax<br />

C 41:1 tmax ref<br />

Cref<br />

tmax<br />

C 50:9 tmax ref<br />

Cref<br />

Xlower;i4XðiÞ4Xupper;i; i ¼ 1; ...; NDV ð10Þ<br />

ttr is the trailing-edge thickness.<br />

tmax is maximum blade thickness.<br />

C is the blade chord. The subscript ‘‘ref separate’’ stands for<br />

reference value.<br />

XðiÞ is the vector <strong>of</strong> design variables, which includes the ycoordinate<br />

<strong>of</strong> the Bezier control points <strong>of</strong> each section, end<br />

locations <strong>of</strong> each internal coolant passage in each section, and<br />

the location <strong>of</strong> the film-cooling ports (centers) along the blade.<br />

For all the sections combined, there are 24 objective functions, 48<br />

constraints, and 384 design variables [17] in the optimization problem.<br />

Sensitivity Analysis<br />

The sensitivities <strong>of</strong> the objective function and constraints with respect to the<br />

design variables (required for the optimization procedure) are evaluated<br />

Copyright © 2003 Marcel Dekker, Inc.

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