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This paper discusses a 3-D optimization of a transonic compressor rotor using a multi-objective optimization system that combines a Differential Evolutionary Algorithm with an Artificial Neural Network and a 3D Navier-Stokes solver. The study focuses on improving rotor efficiency while maintaining stall margin by manipulating blade sweep, chord length, and camber distributions. Results indicate that forward sweep can enhance efficiency and stall margin, while the optimization process allows for a better und
- Author
- mcu_power
- Language
- EN