关键词: 叶轮, 多目标遗传优化, 数值分析, Kriging模型, 轴流风机

Abstract:

In order to reduce the weight of impeller, a multi-objective genetic optimization method and process of the impeller of rail axial fan was established by analyzing the impeller of the numerical calculation method and constructing Kriging model. The numerical calculation method was established by the reverse analysis model and mesh density accuracy. The sampling space of impeller was obtained by Latin hypercube experimental design model. Kriging model of impeller with sufficient accuracy could replace the numerical analysis. The sensitivity of the main technical parameters of the force on the impeller structure was analyzed by the method and the most influential parameters on the impeller structural stress were identified. The weight of impeller is reduced by 31.7% by optimization and save the cost of materials. The maximum stress value is also changed from the initial 21.5MPa to 16.5MPa, which effectively improve the mechanical performance of the impeller. After optimization, dynamic and static experiments were used to the impeller by the slip ring electric and dynamic and static strain testing system, and the impeller rotating machinery equipment and the technology of testing plan was designed. Experimental results and calculation results are very close and the dynamic stress is relatively small, so the impeller has a good mechanics and vibration performance, and has high value in engineering applications.

Key words: impeller, multi-objective genetic optimization, numerical analysis, Kriging model, axial fan