摘要
In order to improve the aerodynamic performance of the rear stages of multi?stage axial compressor, an in?house optimization design platform for diffuser passage compressors based on genetic algorithm and neural network surrogate model was built and applied into the optimization design of an exit rotor with diffuser passage.Impacts of the design parameters on efficiency and stability improvement were analyzed based on optimization database.Two optimized diffuser passage designs were selected from the optimization solution set and their influencing rules and mechanisms on efficiency and stability were further studied.Results showed that application of diffuser passage design can improve the load coefficient by 12.1% and efficiency by 1.28% at design mass flow rate, the improvement of stall margin by 12.50% can also be obtained.According to the local entropy generation rate model, the loss of the upper and lower endwalls of the diffuser passage rotor was increased compared with the origin rotor, whereas the loss of profile was reduced. The main reason for stall margin increase of the diffuser passage rotor was the decrease of blockage coefficient near the stall point.
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