关键词: 高速列车, 径向基神经网络, 灵敏性分析, 离心风机, 参数化模型

Abstract: In order to improve the performance of the centrifugal fans in the cooling systems of high-speed trains, the parametric model of the centrifugal impeller structure and the computational fluid dynamics(CFD) simulation model were adopted. Combined with the performance tests, the CFD simulation model of the centrifugal fan performance was established. The reasonable values of blade number and impeller width were identified by single factor sensitivity analysis respectively. The Latin hypercube sampling(LHS) model was used to sample the impeller structure and performance parameters of the centrifugal fans. The RBFNN model was used to study the structure and performance parameters, and the performance analysis model of centrifugal fans was reconstructed. The multi-factor sensitivity of the structure parameters of centrifugal impellers was studied. Through the global sensitivity analysis, the key parameters affecting the performance were identified. Finally, an optimization scheme was proposed to improve the performance of the centrifugal fans by reasonably matching the structural parameters of the centrifugal impellers. The efficiency of the working point is increased from 67.2% to 73.7%, which may significantly improve the efficiency of the centrifugal fans and reduce the flow loss.

Key words:  , high speed train, radial basis function neural network(RBFNN), sensitivity analysis, centrifugal fan, parametric model