1. A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm
- Author
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Ebrahim Shirani, Mahdi Nili-Ahmadabadi, Mehrdad Nafar-Sefiddashti, Kyung Chun Kim, and Behnam Saeedi-Rizi
- Subjects
Airfoil ,Turbine blade ,Blade (geometry) ,Mechanical Engineering ,Curvature ,Turbine ,law.invention ,Mechanics of Materials ,Cascade ,Control theory ,law ,Total pressure ,Gas compressor ,Mathematics - Abstract
A continuous-curvature parameterization method was coupled with the genetic algorithm and a RANS flow solver to optimize the cascade of VKI and Aachen turbine blades. The main advantage of the method is to generate blades with a continuous curvature distribution, which results in a smooth distribution of pressure and velocity on the blade surface. The geometry of the blade cascade was parameterized by 33 variables, and two objective functions were considered for the optimization. The first cost function was to reduce the total pressure loss with the constraints of mass flow rate, blade loading, and outlet flow angle. At the second cost function, the constraint of constant cross-sectional area was added to the previous constraints to preserve the structural strength of the turbine blade. The total pressure loss for the VKI blade decreased by 14.7 % and 10.6 % for the first and second objective functions, respectively. The total pressure loss for the Aachen blade was also reduced by 9.5 % and 7.5 % for the first and second objective functions, respectively. Due to the efficient geometry parameterization, the proposed method quickly converged to a high-efficiency blade at the early generations. The proposed method can be developed for optimizing the different blades of turbine, compressor, and airfoil types.
- Published
- 2021
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