| Citation: | KANG Wei, WANG Yanqing, XU Quanyong, et al. Discrete-adjoint optimization of axial turbine blade using free-form deformation[J]. Journal of Aerospace Power, 2024, 39（11）：20220943 doi: 10.13224/j.cnki.jasp.20220943
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A discrete-adjoint CFD method based on the free-form deformation was developed for aerodynamic performance optimization of the axial turbine stage. Optimization analysis of the two-dimensional turbine stator and single turbine stage was carried out, and the optimal shape of the blade shape under the constraints was given. In the stator blade optimization, the leading edge radius and thickness of the blade obtained were significantly reduced. The total pressure recovery coefficient decreased by 12.44% after optimization, while the flow outlet angle was constrained to −74.66° with the variance of 0.047% during the optimization. For the single-stage turbine optimization problem, the camber of the rotor blade was enhanced, and the total efficiency was improved by 0.79% considering the rotation effect. The constraint condition lied in the flow outlet angle with the variance of 0.068% during the optimization. The results showed the effectiveness of the proposed method on the aerodynamic performance optimization of turbine stage. Compared with the traditional finite difference method, the discrete adjoint method costed only 3% CPU time for single-stage optimization.
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