摘要
Genetic algorithms and artificial neural networks method were adopted to optimize the camber line shape of splitter cascade in a transonic axial fan. For a certain type of transonic axial fan, the isentropie efficiency was improved by 0. 6% with the modification of splitter cascade rotor. Numerical simulation studies show that the curvature of the optimum splitter cascade with larger suction side is increased, the static pressure gradient is reduced, the process of flow expansion on suction surface is controlled and the separation near hub is eliminated by changing the shock wave structure. The efficiency near hub is improved by 1.3%.
Genetic algorithms and artificial neural networks method were adopted to optimize the camber line shape of splitter cascade in a transonic axial fan. For a certain type of transonic axial fan, the isentropic efficiency was improved by 0.6% with the modification of splitter cascade rotor. Numerical simulation studies show that the curvature of the optimum splitter cascade with larger suction side is increased, the static pressure gradient is reduced, the process of flow expansion on suction surface is controlled and the separation near hub is eliminated by changing the shock wave structure. The efficiency near hub is improved by 1.3%.
