Abstract
To improve the cooling efficiency of turbine blade, a multidisciplinary design optimization (MDO) system involving aerodynamics, heat transfer and structures has been developed. In this system, a MDO procedure for a turbine blade with complicate internal structure is performed. The structural size of rib turbulators, partitions and trailing edge cooling slots, which serve as design variables, is used for parametric modeling of three dimensional turbine blade. Conjugate heat transfer analysis is employed to get the temperature of the blade. The temperature in the blade body obtained from former coupled analysis is specified as boundary conditions for structural analysis. Meanwhile, a combined algorithm of multi-island genetic algorithm (MIGA) and sequential quadratic programming (SQP) is applied for optimization in specified space. While the flow rate of cooling air remains unchanged, the maximum and average temperatures of the blade decrease under the condition of meeting the strength requirement. The result shows that the cooling efficiency of turbine blade is improved, and the system exhibits higher stability, feasibility and efficiency for engineering applications.
Publisher
Trans Tech Publications, Ltd.
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