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| Optimization of multi-blade centrifugal fan for range hood based on regression Kriging surrogate model |
| ZHU Yongding1,XIAO Qianhao2,WU Linghui1,WANG Jun2* |
| 1.Zhejiang Provincial Key Laboratory of Integrated of Health Smart Kitchen System, Ningbo, Zhejiang 315300, China; 2.School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China |
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Abstract A surrogate model was used to optimize the impeller design of a multi-blade centrifugal fan to improve the performance of the range hood by increasing the maximum air volume of the fan system. The key parameters(the outlet angle of blade β2, the maximum blade curvature f, and the blade outlet position Δφ)of the multi-blade centrifugal fan and their variation range were determined, and 44 groups of samples were generated by using the optimal Latin hypercube experimental design method. Combined with computational fluid dynamics(CFD)with high reliability, the regression Kriging model which can accurately reflect the relationship between the three design variables and the addition criterion of maximum air volume was constructed. The genetic algorithm was used to optimize the Kriging model, and the addition criterion of minimum surrogate model prediction(MSP)was used to achieve the optimal convergence condition. The results show that the regression Kriging model can accurately reflect the mapping relationship between design parameters and maximum air volume. The model test of the optimal impeller design parameters shows that the optimized impeller increases the maximum air volume of the range hood increase by 4.4%, and the air volume and efficiency are improved to a certain extent under multiple working conditions.
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Received: 05 March 2021
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